Qiu, G.P.[Guo-Ping],
Duan, J.[Jiang],
Finlayson, G.D.[Graham D.],
Learning to display high dynamic range images,
PR(40), No. 10, October 2007, pp. 2641-2655.
Elsevier DOI
0707
BibRef
And: Erratum:
PR(41), No. 4, April 2008, pp. 1428.
Elsevier DOI
0801
Learning-based image processing; Quantization; High dynamic range imaging;
Dynamic range compression; Neural network; Competitive learning
BibRef
Qiu, G.P.[Guo-Ping],
Guan, J.[Jian],
Duan, J.[Jian],
Chen, M.[Min],
Tone Mapping for HDR Image using Optimization A New Closed Form
Solution,
ICPR06(I: 996-999).
IEEE DOI
0609
To display high dynamic range.
BibRef
Mei, Y.J.[Yu-Jie],
Qiu, G.P.[Guo-Ping],
Lam, K.M.[Kin-Man],
Saliency Modulated High Dynamic Range Image Tone Mapping,
ICIG11(22-27).
IEEE DOI
1109
BibRef
Guan, J.[Jian],
Qiu, G.P.[Guo-Ping],
Display HDR Image using a Gain Map,
ICIP07(III: 521-524).
IEEE DOI
0709
BibRef
Earlier:
Fast tone mapping for high dynamic range images,
ICPR04(II: 847-850).
IEEE DOI
0409
BibRef
Okuda, M.[Masahiro],
Adami, N.[Nicola],
Two-layer coding algorithm for high dynamic range images based on
luminance compensation,
JVCIR(18), No. 5, October 2007, pp. 377-386.
Elsevier DOI
0711
High dynamic range images, Two-layer encoding, Inverse tone mapping function
See also Multiple Exposure Fusion for High Dynamic Range Image Acquisition.
BibRef
Jinno, T.[Takao],
Okuda, M.[Masahiro],
Adami, N.[Nicola],
Detail preserving multiple bit-depth image representation and coding,
ICIP11(1533-1536).
IEEE DOI
1201
BibRef
Earlier:
Acquisition and Encoding of High Dynamic Range Images using Inverse
Tone Mapping,
ICIP07(IV: 181-184).
IEEE DOI
0709
BibRef
Boschetti, A.[Alberto],
Adami, N.[Nicola],
Leonardi, R.[Riccardo],
Okuda, M.[Masahiro],
Image coding with face descriptors embedding,
ICIP11(3665-3668).
IEEE DOI
1201
BibRef
Duan, J.[Jiang],
Bressan, M.[Marco],
Dance, C.[Chris],
Qiu, G.P.[Guo-Ping],
Tone-mapping high dynamic range images by novel histogram adjustment,
PR(43), No. 5, May 2010, pp. 1847-1862.
Elsevier DOI
1003
Tone mapping; Tone reproduction; Adaptation; High dynamic range;
Adaptive; Bilateral; Histogram
BibRef
Tian, Q.Y.[Qi-Yuan],
Duan, J.[Jiang],
Qiu, G.P.[Guo-Ping],
GPU-accelerated local tone-mapping for high dynamic range images,
ICIP12(377-380).
IEEE DOI
1302
BibRef
Tian, Q.Y.[Qi-Yuan],
Duan, J.[Jiang],
Chen, M.[Min],
Peng, T.[Tao],
Segmentation Based Tone-Mapping for High Dynamic Range Images,
ACIVS11(360-371).
Springer DOI
1108
BibRef
Li, X.G.[Xiao-Guang],
Lam, K.M.[Kin Man],
Shen, L.S.[Lan-Sun],
An adaptive algorithm for the display of high-dynamic range images,
JVCIR(18), No. 5, October 2007, pp. 397-405.
Elsevier DOI
0711
High-dynamic range image; Tone mapping; Tone reproduction
BibRef
Hassan, F.[Firas],
Carletta, J.E.[Joan E.],
An FPGA-based architecture for a local tone-mapping operator,
RealTimeIP(2), No. 4, December 2007, pp. 293-308.
Springer DOI
0712
BibRef
Meylan, L.[Laurence],
Alleysson, D.[David],
Süsstrunk, S.[Sabine],
Model of retinal local adaptation for the tone mapping of color filter
array images,
JOSA-A(24), No. 9, September 2007, pp. 2807-2816.
DOI Link
0801
BibRef
Kuang, J.T.[Jiang-Tao],
Johnson, G.M.[Garrett M.],
Fairchild, M.D.[Mark D.],
iCAM06: A refined image appearance model for HDR image rendering,
JVCIR(18), No. 5, October 2007, pp. 406-414.
Elsevier DOI
0711
Image appearance; HDR imaging; Tone mapping; Rendering; Vision modeling;
Tone-mapping operator testing
BibRef
Gatta, C.[Carlo],
Rizzi, A.[Alessandro],
Marini, D.[Daniele],
Perceptually inspired HDR images tone mapping with color correction,
IJIST(17), No. 5, 2007, pp. 285-294.
DOI Link
0802
BibRef
Gatta, C.[Carlo],
Radeva, P.[Petia],
Bilateral enhancers,
ICIP09(3161-3164).
IEEE DOI
0911
BibRef
Park, S.H.[Sung Ho],
Montag, E.D.[Ethan D.],
Evaluating tone mapping algorithms for rendering non-pictorial
(scientific) high-dynamic-range images,
JVCIR(18), No. 5, October 2007, pp. 415-428.
Elsevier DOI
0711
High-dynamic-range image; Rendering; Psychophysics
BibRef
Wang, J.H.[Jin-Hua],
Xu, D.[De],
Li, B.[Bing],
A Novel Tone Mapping Based on Double-Anchoring Theory for Displaying
HDR Images,
IEICE(E92-D), No. 12, December 2009, pp. 2487-2497.
WWW Link.
0912
BibRef
Hu, K.J.[Kuo-Jui],
Lu, M.Y.[Min-Yao],
Wang, J.C.[Je-Chuang],
Hsu, T.I.[Tao-I],
Chang, T.T.[Ting-Ting],
Using Adaptive Tone Mapping to Enhance Edge-Preserving Color Image
Automatically,
JIVP(2010), No. 2010, pp. xx-yy.
DOI Link
1101
BibRef
Wu, X.,
A Linear Programming Approach for Optimal Contrast-Tone Mapping,
IP(20), No. 5, May 2011, pp. 1262-1272.
IEEE DOI
1104
BibRef
Ferradans, S.[Sira],
Bertalmio, M.[Marcelo],
Provenzi, E.[Edoardo],
Caselles, V.[Vincent],
An Analysis of Visual Adaptation and Contrast Perception for Tone
Mapping,
PAMI(33), No. 10, October 2011, pp. 2002-2012.
IEEE DOI
1109
Compress high-dynamic range image to display on low-dynamic range device.
See also Perceptual Color Correction Through Variational Techniques.
BibRef
Zhang, J.[Jian],
Kamata, S.I.[Sei-Ichiro],
A Simple and Effective Clustering Algorithm for Multispectral Images
Using Space-Filling Curves,
IEICE(E95-D), No. 7, July 2012, pp. 1749-1757.
WWW Link.
1208
BibRef
And:
An Adaptive Tone Mapping Algorithm for High Dynamic Range Images,
CCIW09(207-215).
Springer DOI
0903
BibRef
Earlier:
Adaptive local contrast enhancement for the visualization of high
dynamic range images,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Seeman, M.[Michal],
Zemcík, P.[Pavel],
Juránek, R.[Roman],
Herout, A.[Adam],
Fast bilateral filter for HDR imaging,
JVCIR(23), No. 1, January 2012, pp. 12-17.
Elsevier DOI
1112
Bilateral filter; HDR; Dynamic range reduction; Tone mapping; Image
processing; Approximation; Acceleration; Human visual system
BibRef
Akil, M.[Mohamed],
Grandpierre, T.[Thierry],
Perroton, L.[Laurent],
Real-time dynamic tone-mapping operator on GPU,
RealTimeIP(7), No. 3, September 2012, pp. 165-172.
WWW Link.
1208
BibRef
Yeganeh, H.[Hojatollah],
Wang, Z.[Zhou],
Objective Quality Assessment of Tone-Mapped Images,
IP(22), No. 2, February 2013, pp. 657-667.
IEEE DOI
1302
BibRef
Earlier:
Structural Fidelity vs. Naturalness:
Objective Assessment of Tone Mapped Images,
ICIAR11(I: 111-121).
Springer DOI
1106
BibRef
Earlier:
Objective assessment of tone mapping algorithms,
ICIP10(2477-2480).
IEEE DOI
1009
BibRef
Yeganeh, H.[Hojatollah],
Wang, S.Q.[Shi-Qi],
Zeng, K.[Kai],
Eisapour, M.[Mahzar],
Wang, Z.[Zhou],
Objective Quality Assessment of Tone-Mapped Videos,
ICIP16(899-903)
IEEE DOI
1610
Adaptation models
BibRef
Mai, Z.C.[Zi-Cong],
Mansour, H.[Hassan],
Nasiopoulos, P.[Panos],
Ward, R.K.[Rabab K.],
Visually Favorable Tone-Mapping With High Compression Performance in
Bit-Depth Scalable Video Coding,
MultMed(15), No. 7, 2013, pp. 1503-1518.
IEEE DOI
1312
BibRef
Earlier:
Visually-favorable tone-mapping with high compression performance,
ICIP10(1285-1288).
IEEE DOI
1009
data compression
BibRef
Lee, C.[Chul],
Kim, C.S.[Chang-Su],
Rate-distortion optimized layered coding of high dynamic range videos,
JVCIR(23), No. 6, August 2012, pp. 908-923.
Elsevier DOI
1208
High dynamic range video; Video coding; Rate-distortion optimization;
Layered coding; H.264/AVC; Tone mapping; Backward compatibility; Human
visual system
BibRef
Yang, L.[Lei],
Wu, D.P.[Da-Peng],
Adaptive quantization using piecewise companding and scaling for
Gaussian mixture,
JVCIR(23), No. 7, October 2012, pp. 959-971.
Elsevier DOI
1209
Scalar quantization, Companding, Scaling, Lloyd-Max quantizer, Gaussian
mixture model (GMM), Analog-to-digital converter (ADC), High dynamic
range (HDR) image, Tone mapping
BibRef
Gu, B.,
Li, W.,
Zhu, M.,
Wang, M.,
Local Edge-Preserving Multiscale Decomposition for High Dynamic Range
Image Tone Mapping,
IP(22), No. 1, January 2013, pp. 70-79.
IEEE DOI
1301
BibRef
Choudhury, A.[Anustup],
Medioni, G.[Gérard],
Hierarchy of nonlocal means for preferred automatic sharpness
enhancement and tone mapping,
JOSA-A(30), No. 3, March 2013, pp. 353-366.
DOI Link
1303
BibRef
Earlier:
Perceptually motivated automatic sharpness enhancement using hierarchy
of non-local means,
Color11(730-737).
IEEE DOI
1201
BibRef
Boitard, R.[Ronan],
Cozot, R.[Rémi],
Thoreau, D.[Dominique],
Bouatouch, K.[Kadi],
Zonal brightness coherency for video tone mapping,
SP:IC(29), No. 2, 2014, pp. 229-246.
Elsevier DOI
1403
Video tone mapping
BibRef
Melo, M.[Miguel],
Bessa, M.[Maximino],
Debattista, K.[Kurt],
Chalmers, A.[Alan],
Evaluation of HDR video tone mapping for mobile devices,
SP:IC(29), No. 2, 2014, pp. 247-256.
Elsevier DOI
1403
HDR video
BibRef
Koz, A.[Alper],
Dufaux, F.[Frederic],
Methods for improving the tone mapping for backward compatible high
dynamic range image and video coding,
SP:IC(29), No. 2, 2014, pp. 274-292.
Elsevier DOI
1403
BibRef
Earlier:
Optimized tone mapping with LDR image quality constraint for
backward-compatible high dynamic range image and video coding,
ICIP13(1762-1766)
IEEE DOI
1402
BibRef
Earlier:
Optimized tone mapping with perceptually uniform luminance values for
backward-compatible high dynamic range video compression,
VCIP12(1-6).
IEEE DOI
1302
High dynamic range video compression.
Backward Compatible.
for displays
BibRef
Xiao, J.S.[Jin-Sheng],
Li, W.H.[Wen-Hao],
Liu, G.X.[Guo-Xiong],
Shaw, S.L.[Shih-Lung],
Zhang, Y.Q.[Yong-Qin],
Hierarchical tone mapping based on image colour appearance model,
IET-CV(8), No. 4, August 2014, pp. 358-364.
DOI Link
1407
For HDR images.
BibRef
Ma, K.[Kede],
Yeganeh, H.,
Zeng, K.[Kai],
Wang, Z.[Zhou],
High Dynamic Range Image Compression by Optimizing Tone Mapped Image
Quality Index,
IP(24), No. 10, October 2015, pp. 3086-3097.
IEEE DOI
1507
Dynamic range
See also Perceptual Quality Assessment for Multi-Exposure Image Fusion.
BibRef
Huo, Y.Q.[Yong-Qing],
Yang, F.[Fan],
Dong, L.[Le],
Brost, V.[Vincent],
Physiological inverse tone mapping based on retina response,
VC(30), No. 5, May 2014, pp. 507-517.
WWW Link.
1404
BibRef
Fang, H.M.[Hua-Meng],
Yi, B.[Benshun],
Zhang, Y.Q.[Yong-Qin],
Xie, Q.Y.[Qiu-Ying],
Tone mapping based on fast image decomposition and multi-layer fusion,
IET-CV(9), No. 6, 2015, pp. 937-942.
DOI Link
1512
image colour analysis
BibRef
Nafchi, H.Z.[H. Ziaei],
Shahkolaei, A.,
Moghaddam, R.F.[R. Farrahi],
Cheriet, M.,
FSITM: A Feature Similarity Index For Tone-Mapped Images,
SPLetters(22), No. 8, August 2015, pp. 1026-1029.
IEEE DOI
1502
display instrumentation. Compare result to original HDR image.
BibRef
Bayram, I.,
Penalty Functions Derived From Monotone Mappings,
SPLetters(22), No. 3, March 2015, pp. 265-269.
IEEE DOI
1410
Convex functions
BibRef
Melo, M.[Miguel],
Bessa, M.[Maximino],
Barbosa, L.[Luis],
Debattista, K.[Kurt],
Chalmers, A.[Alan],
Screen reflections impact on HDR video tone mapping for mobile
devices: an evaluation study,
JIVP(2015), No. 1, 2015, pp. 44.
DOI Link
1601
BibRef
Narwaria, M.[Manish],
Perreira da Silva, M.[Matthieu],
Le Callet, P.[Patrick],
Pepion, R.[Romuald],
Tone mapping based HDR compression: Does it affect visual experience?,
SP:IC(29), No. 2, 2014, pp. 257-273.
Elsevier DOI
1403
High dynamic range (HDR)
BibRef
Kim, B.K.[Baek-Kyu],
Park, R.H.[Rae-Hong],
Chang, S.[Soon_Keun],
Tone mapping with contrast preservation and lightness correction in
high dynamic range imaging,
SIViP(10), No. 8, November 2016, pp. 1425-1432.
WWW Link.
1610
BibRef
Liu, J.[Jian],
Hassan, F.[Firas],
Carletta, J.E.[Joan E.],
A study of hardware-friendly methods for gradient domain tone mapping
of high dynamic range images,
RealTimeIP(12), No. 1, June 2016, pp. 165-181.
WWW Link.
1606
BibRef
Banterle, F.[Francesco],
Artusi, A.[Alessandro],
Sikudova, E.[Elena],
Ledda, P.[Patrick],
Bashford-Rogers, T.[Thomas],
Chalmers, A.[Alan],
Bloj, M.[Marina],
Mixing tone mapping operators on the GPU by differential zone mapping
based on psychophysical experiments,
SP:IC(48), No. 1, 2016, pp. 50-62.
Elsevier DOI
1609
High dynamic range imaging
BibRef
Oskarsson, M.[Magnus],
Temporally Consistent Tone Mapping of Images and Video Using Optimal
K-means Clustering,
JMIV(57), No. 2, February 2017, pp. 225-238.
WWW Link.
1702
BibRef
Earlier:
Democratic Tone Mapping Using Optimal K-means Clustering,
SCIA15(354-365).
Springer DOI
1506
BibRef
Gommelet, D.[David],
Roumy, A.[Aline],
Guillemot, C.[Christine],
Ropert, M.[Michael],
Le Tanou, J.[Julien],
Gradient-Based Tone Mapping for Rate-Distortion Optimized
Backward-Compatible High Dynamic Range Compression,
IP(26), No. 12, December 2017, pp. 5936-5949.
IEEE DOI
1710
BibRef
Earlier:
Rate-distortion optimization of a tone mapping with SDR quality
constraint for backward-compatible high dynamic range compression,
ICIP16(1384-1388)
IEEE DOI
1610
Distortion, Image coding, Image reconstruction, Minimization,
Optimization, Rate distortion theory, HEVC,
High dynamic range (HDR), backward-compatible, compression,
gradient, intraframe R-D model, tone-mapping, (TMO)
BibRef
Ok, J.[Jiheon],
Lee, C.H.[Chul-Hee],
HDR tone mapping algorithm based on difference compression with
adaptive reference values,
JVCIR(43), No. 1, 2017, pp. 61-76.
Elsevier DOI
1702
High dynamic range image
BibRef
Jung, C.,
Sun, T.,
Optimized Perceptual Tone Mapping for Contrast Enhancement of Images,
CirSysVideo(27), No. 6, June 2017, pp. 1161-1170.
IEEE DOI
1706
Brightness, Distortion, Dynamic range, Histograms, Lighting,
Resource management, Visualization, Contrast enhancement,
histogram equalization (HE), tone distortion, tone mapping,
visual attention, visual, saliency
BibRef
Li, Z.H.[Zhen-Hao],
Wu, X.L.[Xiao-Lin],
Learning-Based Restoration of Backlit Images,
IP(27), No. 2, February 2018, pp. 976-986.
IEEE DOI
1712
Spatially adaptive technique of optimal tone mapping.
Histograms, Image edge detection, Image restoration,
Image segmentation, Labeling, Lighting, Support vector machines,
tone mapping
BibRef
Cyriac, P.[Praveen],
Batard, T.[Thomas],
Bertalmío, M.[Marcelo],
A Nonlocal Variational Formulation for the Improvement of Tone Mapped
Images,
SIIMS(7), No. 4, 2014, pp. 2340-2363.
DOI Link
1412
BibRef
A Variational Method for the Optimization of Tone Mapping Operators,
PSIVT13(505-516).
Springer DOI
1402
BibRef
Batard, T.[Thomas],
Bertalmío, M.[Marcelo],
Harmonic Flow for Histogram Matching,
PSIVTWS13(145-156).
Springer DOI
1402
BibRef
Wei, Z.,
Wen, C.,
Li, Z.,
Local Inverse Tone Mapping for Scalable High Dynamic Range Image
Coding,
CirSysVideo(28), No. 2, February 2018, pp. 550-555.
IEEE DOI
1802
Dynamic range, Encoding, Estimation, Image coding,
Image edge detection, Optimization, Smoothing methods,
tone mapping
BibRef
Benzi, M.[Marco],
Escobar, M.J.[Maria-Jose],
Kornprobst, P.[Pierre],
A bio-inspired synergistic virtual retina model for tone mapping,
CVIU(168), 2018, pp. 21-36.
Elsevier DOI
1804
Tone mapping, HDR, Retina, Photoreceptor adaptation,
Contrast gain control, Synergistic model
BibRef
Li, H.[Hui],
Jia, X.X.[Xi-Xi],
Zhang, L.[Lei],
Clustering based content and color adaptive tone mapping,
CVIU(168), 2018, pp. 37-49.
Elsevier DOI
1804
High dynamic range, Tone mapping, Clustering
BibRef
Artusi, A.[Alessandro],
Pouli, T.[Tania],
Banterle, F.[Francesco],
Akyüz, A.O.[Ahmet Oguz],
Automatic saturation correction for dynamic range management
algorithms,
SP:IC(63), 2018, pp. 100-112.
Elsevier DOI
1804
High dynamic range imaging, Color correction, Gamut mapping,
Tone mapping, Inverse/reverse tonemapping
BibRef
Cerda-Company, X.[Xim],
Parraga, C.A.[C. Alejandro],
Otazu, X.[Xavier],
Which tone-mapping operator is the best? A comparative study of
perceptual quality,
JOSA-A(35), No. 4, April 2018, pp. 626-638.
DOI Link
1804
Survey, Tone Mapping. Digital image processing, Image reconstruction techniques, Psychophysics
BibRef
Lee, D.H.[Dae-Hong],
Fan, M.[Ming],
Kim, S.W.[Seung-Wook],
Kang, M.C.[Mun-Cheon],
Ko, S.J.[Sung-Jea],
High dynamic range image tone mapping based on asymmetric model of
retinal adaptation,
SP:IC(68), 2018, pp. 120-128.
Elsevier DOI
1810
High dynamic range image, Tone mapping operator,
Retina response model, Perceptual image processing
BibRef
El Mezeni, D.M.[Dragomir M.],
Saranovac, L.V.[Lazar V.],
Enhanced local tone mapping for detail preserving reproduction of
high dynamic range images,
JVCIR(53), 2018, pp. 122-133.
Elsevier DOI
1805
BibRef
Ozcinar, C.[Cagri],
Lauga, P.[Paul],
Valenzise, G.[Giuseppe],
Dufaux, F.[Frédéric],
Spatio-temporal constrained tone mapping operator for HDR video
compression,
JVCIR(55), 2018, pp. 166-178.
Elsevier DOI
1809
High dynamic range, Video compression, Tone mapping operator,
Convex optimization
BibRef
Jo, S.Y.[So Yeon],
Lee, S.Y.[Si-Yeong],
Ahn, N.[Namhyun],
Kang, S.J.[Suk-Ju],
Deep Arbitrary HDRI: Inverse Tone Mapping With Controllable Exposure
Changes,
MultMed(24), 2022, pp. 2713-2726.
IEEE DOI
2206
Image restoration, Dynamic range, Generators, High frequency,
Brightness, Training, Process control, High dynamic range imaging,
deep learning
BibRef
Lee, S.Y.[Si-Yeong],
An, G.H.[Gwon Hwan],
Kang, S.J.[Suk-Ju],
Deep Recursive HDRI: Inverse Tone Mapping Using Generative Adversarial
Networks,
ECCV18(II: 613-628).
Springer DOI
1810
BibRef
Rana, A.,
Valenzise, G.,
Dufaux, F.,
Learning-Based Tone Mapping Operator for Efficient Image Matching,
MultMed(21), No. 1, January 2019, pp. 256-268.
IEEE DOI
1901
BibRef
Earlier:
Learning-based tone mapping operator for image matching,
ICIP17(2374-2378)
IEEE DOI
1803
Feature extraction, Image matching, Lighting,
Task analysis, Dynamic range, Detectors, High dynamic range,
machine learning.
Modulation, Training, Descriptor,
Tone mapping operator
BibRef
Zhang, Z.M.[Zhu-Ming],
Han, C.[Chu],
He, S.F.[Sheng-Feng],
Liu, X.T.[Xue-Ting],
Zhu, H.C.[Hai-Chao],
Hu, X.H.[Xing-Hong],
Wong, T.T.[Tien-Tsin],
Deep binocular tone mapping,
VC(35), No. 6-8, June 2018, pp. 997-1011.
Springer DOI
1906
BibRef
Ambalathankandy, P.[Prasoon],
Horé, A.[Alain],
Yadid-Pecht, O.[Orly],
An FPGA implementation of a tone mapping algorithm with a halo-reducing
filter,
RealTimeIP(16), No. 4, August 2019, pp. 1317-1333.
Springer DOI
1908
BibRef
Fan, M.[Ming],
Lee, D.H.[Dae-Hong],
Kim, S.W.[Seung-Wook],
Ko, S.J.[Sung-Jea],
An optimization framework for inverse tone mapping using a single low
dynamic range image,
SP:IC(78), 2019, pp. 274-283.
Elsevier DOI
1909
Inverse tone mapping, Newton-Raphson, Brightness enhancement function
BibRef
Rana, A.,
Singh, P.,
Valenzise, G.,
Dufaux, F.,
Komodakis, N.,
Smolic, A.,
Deep Tone Mapping Operator for High Dynamic Range Images,
IP(29), 2020, pp. 1285-1298.
IEEE DOI
1911
Dynamic range, Generative adversarial networks, Generators,
Task analysis, Imaging, Indexes, High dyanmic range images,
generative adversarial networks
BibRef
Song, K.S.,
Kang, M.G.,
Optimized Tone Mapping Function for Contrast Enhancement Considering
Human Visual Perception System,
CirSysVideo(29), No. 11, November 2019, pp. 3199-3210.
IEEE DOI
1911
Visualization, Visual perception, Histograms, Linear programming,
Optimization, Brightness, Measurement, Contrast enhancement,
human visual perception system
BibRef
Buades, A.[Antoni],
Lisani, J.L.[Jose-Luis],
Petro, A.B.[Ana Belen],
Sbert, C.[Catalina],
Backlit images enhancement using global tone mappings and image fusion,
IET-IPR(14), No. 2, February 2020, pp. 211-219.
DOI Link
2001
BibRef
Kim, D.E.[Dae-Eun],
Kim, M.C.[Mun-Churl],
Learning-Based Low-Complexity Reverse Tone Mapping With Linear
Mapping,
CirSysVideo(30), No. 2, February 2020, pp. 400-414.
IEEE DOI
2002
Image reconstruction, TV, Dynamic range, Standards,
Image restoration, Convolutional neural networks,
reverse tone mapping operator
BibRef
Kim, S.Y.[Soo Ye],
Kim, D.E.[Dae-Eun],
Kim, M.C.[Mun-Churl],
ITM-CNN: Learning the Inverse Tone Mapping from Low Dynamic Range Video
to High Dynamic Range Displays Using Convolutional Neural Networks,
ACCV18(III:395-409).
Springer DOI
1906
BibRef
Gao, S.,
Tan, M.,
He, Z.,
Li, Y.,
Tone Mapping Beyond the Classical Receptive Field,
IP(29), 2020, pp. 4174-4187.
IEEE DOI
2002
Tone mapping, classical receptive field, surround modulation,
biologically inspired computer vision
BibRef
Le, Q.T.[Quyet-Tien],
Ladret, P.[Patricia],
Nguyen, H.T.[Huu-Tuan],
Caplier, A.[Alice],
Study of naturalness in tone-mapped images,
CVIU(196), 2020, pp. 102971.
Elsevier DOI
2006
Image unnaturalness study, High dynamic range image,
Standard dynamic range image, Tone mapping operator,
Convolutional neural network
BibRef
Song, Q.[Qing],
Su, G.M.[Guan-Ming],
Cosman, P.C.[Pamela C.],
Efficient Debanding Filtering for Inverse Tone Mapped High Dynamic
Range Videos,
CirSysVideo(30), No. 8, August 2020, pp. 2575-2589.
IEEE DOI
2008
BibRef
Earlier:
Hardware-efficient debanding and visual enhancement filter for
inverse tone mapped high dynamic range images and videos,
ICIP16(3299-3303)
IEEE DOI
1610
Videos, Dynamic range, Decoding, Image color analysis, Metadata,
Random access memory, Image edge detection, Sparse filter,
visual enhancement.
Dynamic range
BibRef
Ambalathankandy, P.,
Ikebe, M.,
Yoshida, T.,
Shimada, T.,
Takamaeda, S.,
Motomura, M.,
Asai, T.,
An Adaptive Global and Local Tone Mapping Algorithm Implemented on
FPGA,
CirSysVideo(30), No. 9, September 2020, pp. 3015-3028.
IEEE DOI
2009
Histograms, Field programmable gate arrays, Estimation,
Real-time systems, Image edge detection, Hardware, Image coding,
FPGA
BibRef
Nunes, G.M.S.[Gustavo M.S.],
Oliveira, F.D.V.R.[Fernanda D.V.R.],
Farias, M.C.Q.[Mylène C.Q.],
Gomes, J.G.R.C.[José Gabriel R.C.],
Petraglia, A.[Antonio],
Fernández-Berni, J.[Jorge],
Carmona-Galán, R.[Ricardo],
Rodríguez-Vázquez, Á.[Ángel],
Comparison between Digital Tone-Mapping Operators and a Focal-Plane
Pixel-Parallel Circuit,
SP:IC(88), 2020, pp. 115937.
Elsevier DOI
2009
Tone mapping, Focal plane, High dynamic range,
Color image processing, Image quality
BibRef
Khwildi, R.[Raoua],
Zaid, A.O.[Azza Ouled],
HDR image retrieval by using color-based descriptor and tone mapping
operator,
VC(36), No. 6, June 2020, pp. 1111-1126.
WWW Link.
2005
BibRef
Mohammadi, P.[Pedram],
Pourazad, M.T.[Mahsa T.],
Nasiopoulos, P.[Panos],
A Perception-Based Inverse Tone Mapping Operator for High Dynamic
Range Video Applications,
CirSysVideo(31), No. 5, 2021, pp. 1711-1723.
IEEE DOI
2105
BibRef
Faraji, M.R.[Mohammad Reza],
Full-reference tone-mapped images quality assessment,
IET-IPR(15), No. 3, 2021, pp. 763-773.
DOI Link
2106
BibRef
Shen, X.M.[Xu-Ming],
Feng, J.H.[Jian-Hua],
Zhang, X.D.[Xian-Dou],
A content-dependent Daltonization algorithm for colour vision
deficiencies based on lightness and chroma information,
IET-IPR(15), No. 4, 2021, pp. 983-996.
DOI Link
2106
BibRef
Mohammadi, P.[Pedram],
Pourazad, M.T.[Mahsa T.],
Nasiopoulos, P.[Panos],
A Fully Automatic Content Adaptive Inverse Tone Mapping Operator With
Improved Color Accuracy,
CirSysVideo(31), No. 11, November 2021, pp. 4198-4213.
IEEE DOI
2112
Brightness, Visualization, Color, Image color analysis,
Dynamic range, Histograms, Entropy, Inverse tone mapping, iTMO,
High Dynamic Range (HDR)
BibRef
Zhou, F.[Fei],
Liao, G.S.[Guang-Sen],
Duan, J.[Jiang],
Liu, B.Z.[Bo-Zhi],
Qiu, G.P.[Guo-Ping],
Tone mapping high dynamic range images based on region-adaptive
self-supervised deep learning,
SP:IC(102), 2022, pp. 116595.
Elsevier DOI
2202
Tone mapping, High dynamic range, Region-adaptive self-supervised learning
BibRef
Khan, I.R.[Ishtiaq Rasool],
Alotaibi, T.A.[Theyab A.],
Siddiq, A.[Asif],
Bourennani, F.[Farid],
Evaluating Quantitative Metrics of Tone-Mapped Images,
IP(31), 2022, pp. 1751-1760.
IEEE DOI
2202
Measurement, Statistics, Sociology, Image quality, Indexes,
Feature extraction, Distortion, High dynamic range imaging,
metaheuristics
BibRef
Ou, Y.F.[Ya-Fei],
Ambalathankandy, P.[Prasoon],
Takamaeda, S.[Shinya],
Motomura, M.[Masato],
Asai, T.[Tetsuya],
Ikebe, M.[Masayuki],
Real-Time Tone Mapping:
A Survey and Cross-Implementation Hardware Benchmark,
CirSysVideo(32), No. 5, May 2022, pp. 2666-2686.
IEEE DOI
2205
Survey, Tone Mapping. Graphics processing units, Field programmable gate arrays,
Hardware, Dynamic range, Imaging, Image sensors, Real-time systems,
GPU
BibRef
Zhang, N.[Ning],
Zhao, Y.[Yang],
Wang, C.[Chao],
Wang, R.G.[Rong-Gang],
A Real-Time Semi-Supervised Deep Tone Mapping Network,
MultMed(24), 2022, pp. 2815-2827.
IEEE DOI
2206
Image color analysis, Generative adversarial networks, Training,
Image coding, Dynamic range, Task analysis, Deep learning,
light-weight
BibRef
Yang, J.C.[Jia-Chen],
Zhou, Y.[Yanshuang],
Zhao, Y.[Yang],
Wen, J.[Jiabao],
Blind quality assessment of tone-mapped images using multi-exposure
sequences,
JVCIR(87), 2022, pp. 103553.
Elsevier DOI
2208
High dynamic range, Tone-mapped image, Image quality assessment (IQA)
BibRef
Wu, G.[Guotao],
Song, R.[Ran],
Zhang, M.X.[Ming-Xin],
Li, X.L.[Xiao-Lei],
Rosin, P.L.[Paul L.],
LiTMNet: A deep CNN for efficient HDR image reconstruction from a
single LDR image,
PR(127), 2022, pp. 108620.
Elsevier DOI
2205
HDR image reconstruction, Lightweight CNN, Inverse tone mapping
BibRef
Kocdemir, I.H.[Ismail Hakki],
Koz, A.[Alper],
Akyuz, A.O.[Ahmet Oguz],
Chalmers, A.[Alan],
Alatan, A.[Aydin],
Kalkan, S.[Sinan],
TMO-Det: Deep tone-mapping optimized with and for object detection,
PRL(172), 2023, pp. 230-236.
Elsevier DOI
2309
Object detection, High dynamic range, Low dynamic range,
Tone-Mapping, Generative adversarial networks
BibRef
Zhang, N.[Ning],
Ye, Y.[Yuyao],
Zhao, Y.[Yang],
Wang, R.G.[Rong-Gang],
Revisiting the Stack-Based Inverse Tone Mapping,
CVPR23(9162-9171)
IEEE DOI
2309
BibRef
Han, X.[Xueyu],
Khan, I.R.[Ishtiaq Rasool],
Rahardja, S.[Susanto],
Image tone mapping based on clustering and human visual system models,
SP:IC(120), 2024, pp. 117075.
Elsevier DOI
2312
Clustering, High dynamic range (HDR), Human visual system (HVS), Tone mapping
BibRef
Alotaibi, T.[Theyab],
Khan, I.R.[Ishtiaq Rasool],
Bourennani, F.[Farid],
Quality Assessment of Tone-Mapped Images Using Fundamental Color and
Structural Features,
MultMed(26), 2024, pp. 1244-1254.
IEEE DOI
2402
Measurement, Image quality, Feature extraction, Distortion,
Image color analysis, Brightness, Dynamic range,
tone-mapping
BibRef
Hu, C.[Chaoxuan],
Liu, P.P.[Pei-Pei],
Qin, W.F.[Wei-Feng],
Wang, S.[Shuo],
Natureness-preserving tone mapping operator based on improved guided
filter and adaptive Gamma curve,
IET-IPR(18), No. 3, 2024, pp. 694-706.
DOI Link
2402
chromatic recovery, high dynamic range imaging,
image detail enhancement, tone mapping
BibRef
Cao, C.[Cong],
Yue, H.[Huanjing],
Liu, X.[Xin],
Yang, J.Y.[Jing-Yu],
Unsupervised HDR Image and Video Tone Mapping via Contrastive
Learning,
CirSysVideo(34), No. 2, February 2024, pp. 786-798.
IEEE DOI Code:
WWW Link.
2402
Feature extraction, Brightness, Training, Codes, Image enhancement,
Unsupervised learning, Task analysis,
video tone mapping dataset
BibRef
Li, D.[Di],
Wang, M.[Mou],
Rahardja, S.[Susanto],
Contrastive learning for deep tone mapping operator,
SP:IC(126), 2024, pp. 117130.
Elsevier DOI Code:
WWW Link.
2406
Generative adversarial net, Tone mapping,
High dynamic range images, Deep learning, Contrastive learning
BibRef
Nam, Y.[Yoon_Chan],
Kim, J.[Joon_Kyu],
Shim, J.H.[Jae-Hun],
Kang, S.J.[Suk-Ju],
Deep Conditional HDRI: Inverse Tone Mapping via Dual Encoder-Decoder
Conditioning Method,
MultMed(26), 2024, pp. 8504-8515.
IEEE DOI
2408
Image restoration, Image color analysis, Cameras, Image synthesis,
Generators, Deep learning, Decoding, Deep learning, image processing
BibRef
Watanabe, T.[Takumi],
Kawakami, R.[Rei],
Tanaka, M.[Masayuki],
Okutomi, M.[Masatoshi],
Object Detection Framework Using Multiple Tone Mappings on
High-Dynamic-Range Images,
ICIP24(2641-2647)
IEEE DOI Code:
WWW Link.
2411
Codes, Detectors, Object detection, Dynamic range,
Computational efficiency, Object detection, High dynamic range,
Tone mapping
BibRef
Lee, H.[Hyeongmin],
Kang, K.[Kyoungkook],
Ok, J.[Jungseul],
Cho, S.[Sunghyun],
CLIPtone: Unsupervised Learning for Text-Based Image Tone Adjustment,
CVPR24(2942-2951)
IEEE DOI
2410
Training, Solid modeling, Supervised learning, Natural languages,
Training data, Data collection, Image Tone Adjustment,
CLIP
BibRef
Ye, Y.[Yuyao],
Zhang, N.[Ning],
Zhao, Y.[Yang],
Cao, H.B.[Hong-Bin],
Wang, R.G.[Rong-Gang],
Deep Video Inverse Tone Mapping Based on Temporal Clues,
CVPR24(25995-26004)
IEEE DOI Code:
WWW Link.
2410
Codes, Video sequences, Pipelines, Brightness,
High dynamic range, inverse tone mapping, high dynamic range
BibRef
Han, X.[Xueyu],
Rahardja, S.[Susanto],
High Dynamic Range Image Tone Mapping Based on Layer Decomposition
and Image Fusion,
ICIP23(221-225)
IEEE DOI
2312
BibRef
Pistellato, M.[Mara],
Bergamasco, F.[Filippo],
On-the-go Reflectance Transformation Imaging with Ordinary Smartphones,
VisArt22(251-267).
Springer DOI
2304
BibRef
You, H.J.[Hong-Jie],
Chen, H.[Hu],
Wang, Y.C.[Yi-Chuan],
Cui, K.[Kai],
Steinbach, E.[Eckehard],
CNN-Based Local Tone Mapping in the Perceptual Quantization Domain,
ICIP22(1566-1570)
IEEE DOI
2211
Deep learning, Quantization (signal), Image coding, Pipelines,
Neural networks, MIMICs, Transfer functions, High dynamic range,
convolutional neural network
BibRef
Vinker, Y.[Yael],
Huberman-Spiegelglas, I.[Inbar],
Fattal, R.[Raanan],
Unpaired Learning for High Dynamic Range Image Tone Mapping,
ICCV21(14637-14646)
IEEE DOI
2203
Training, Photography, Deep learning, Visualization, Image coding,
Neural networks, Image and video synthesis, Computational photography
BibRef
Hu, L.T.[Li-Tao],
Chen, H.[Huaijin],
Allebach, J.P.[Jan P.],
Joint Multi-Scale Tone Mapping and Denoising for HDR Image
Enhancement,
ComputationalApp22(729-738)
IEEE DOI
2202
Image sensors, Image coding, Image color analysis, Noise reduction,
Dynamic range, Sensors, Image enhancement
BibRef
Li, M.,
Wu, X.,
Liu, J.,
Guo, Z.,
Restoration of Unevenly Illuminated Images,
ICIP18(1118-1122)
IEEE DOI
1809
Image restoration, Lighting, Histograms, Image edge detection,
Gaussian mixture model, Gaussian distribution,
tone mapping
BibRef
Ulucan, O.[Oguzhan],
Karakaya, D.[Diclehan],
Turkan, M.[Mehmet],
Saturated Region Recovery in Tone-Mapped HDR Images,
ICIP21(1774-1778)
IEEE DOI
2201
Image color analysis, Imaging, Dynamic range, Image restoration,
Image restoration, image enhancement, linear embeddings,
saturation correction
BibRef
Su, C.C.[Chien-Chuan],
Wang, R.[Ren],
Lin, H.J.[Hung-Jin],
Liu, Y.L.[Yu-Lun],
Chen, C.P.[Chia-Ping],
Chang, Y.L.[Yu-Lin],
Pei, S.C.[Soo-Chang],
Explorable Tone Mapping Operators,
ICPR21(10320-10326)
IEEE DOI
2105
Learning systems, Visualization, Imaging, Dynamic range
BibRef
Zou, J.,
Mei, K.,
Sun, S.,
Multi-Scale Video Inverse Tone Mapping with Deformable Alignment,
VCIP20(9-12)
IEEE DOI
2102
Feature extraction, Dynamic range, Visualization,
Image reconstruction, Correlation, Training, Telecommunications,
deformable convolution
BibRef
Teutsch, M.,
Sedelmaier, S.,
Moosbauer, S.,
Eilertsen, G.,
Walter, T.,
An Evaluation of Objective Image Quality Assessment for Thermal
Infrared Video Tone Mapping,
PBVS20(488-497)
IEEE DOI
2008
Dynamic range, Loss measurement, Image quality, Cameras,
Noise measurement, Standards, Image coding
See also Thermal Infrared Single Image Dehazing and Blind Image Quality Assessment.
BibRef
Madmad, T.,
de Vleeschouwer, C.,
Bilateral Histogram Equalization for X-Ray Image Tone Mapping,
ICIP19(3507-3511)
IEEE DOI
1910
Tone-mapping, high dynamic range, X-ray imaging, bilateral filter,
histogram equalization.
BibRef
Kang, M.,
Lee, J.H.,
Choi, I.,
Kim, M.H.,
Real-Time HDR Video Tone Mapping Using High Efficiency Video Coding,
ICIP19(4649-4653)
IEEE DOI
1910
BibRef
Xu, Y.,
Ning, S.,
Xie, R.,
Song, L.,
Gan Based Multi-Exposure Inverse Tone Mapping,
ICIP19(1-5)
IEEE DOI
1910
High dynamic range, inverse tone mapping, deep learning,
generative adversarial network
BibRef
Berg, A.,
Ahlberg, J.,
Felsberg, M.,
Generating Visible Spectrum Images from Thermal Infrared,
PBVS18(1224-122409)
IEEE DOI
1812
Visualization, Image color analysis, Gray-scale, Cameras,
Convolution, Channel estimation, Semantics
BibRef
Liang, Z.,
Xu, J.,
Zhang, D.,
Cao, Z.,
Zhang, L.,
A Hybrid L1-L0 Layer Decomposition Model for Tone Mapping,
CVPR18(4758-4766)
IEEE DOI
1812
Image edge detection, Visualization, Dynamic range, Lighting,
Linear programming, Analytical models, Heuristic algorithms
BibRef
Yang, J.,
Horé, A.,
Shahnovich, U.,
Lai, K.,
Yanushkevich, S.N.,
Yadid-Pecht, O.,
Multi-Scale histogram tone mapping algorithm enables better object
detection in wide dynamic range images,
AVSS17(1-6)
IEEE DOI
1806
image colour analysis, image fusion, object detection,
MS-Hist algorithm, WDR images, algorithm tone maps pixels,
Histograms
BibRef
Jung, C.,
Xu, K.,
Naturalness-preserved tone mapping in images based on perceptual
quantization,
ICIP17(2403-2407)
IEEE DOI
1803
Dynamic range, Frequency measurement, Histograms, Image coding,
Quantization (signal), Transfer functions, Visual perception,
perceptual quantization
BibRef
Barai, N.R.,
Kyan, M.,
Androutsos, D.,
Human visual system inspired saliency guided edge preserving
tone-mapping for high dynamic range imaging,
ICIP17(1017-1021)
IEEE DOI
1803
Feature extraction, Filtering algorithms, Image coding,
Image edge detection, Maximum likelihood detection,
Tone mapping
BibRef
Najaf-Zadeh, H.,
Budagavi, M.,
Faramarzi, E.,
VR-HDR: A system for view-dependent rendering of HDR video in virtual
reality,
ICIP17(1032-1036)
IEEE DOI
1803
360-degree video, VR+HDR, high dynamic range (HDR),
view-dependent tone mapping, virtual reality (VR)
BibRef
Eilertsen, G.,
Mantiuk, R.K.,
Unger, J.,
Real-time noise-aware tone-mapping and its use in luminance
retargeting,
ICIP16(894-898)
IEEE DOI
1610
Distortion
BibRef
Wang, X.,
Jung, C.,
Backlight scaled contrast enhancement for liquid crystal displays
using image key-based compression,
VCIP16(1-4)
IEEE DOI
1701
BibRef
Earlier:
Detail-preserving tone mapping for low dynamic range displays with
adaptive gamma correction,
VCIP15(1-5)
IEEE DOI
1605
Brightness
BibRef
Wang, L.,
Jung, C.,
Tone-preserving contrast enhancement in images using rational tone
mapping and constrained optimization,
VCIP16(1-4)
IEEE DOI
1701
BibRef
Earlier: A2, A1:
Power-constrained backlight scaling using brightness compensated
contrast-tone mapping operation,
VCIP15(1-4)
IEEE DOI
1605
Computational complexity
Brightness
BibRef
Kimura, Y.[Yuta],
Ikebe, M.[Masayuki],
Halo control for LHE based local adaptive tone mapping,
ICIP15(3911-3915)
IEEE DOI
1512
gradient reversal
LHE: local histogram equalization.
BibRef
Granados, M.,
Aydin, T.O.,
Tena, J.R.,
Lalonde, J.F.,
Theobalt, C.,
Contrast-Use Metrics for Tone Mapping Images,
ICCP15(1-8)
IEEE DOI
1511
image processing
BibRef
Banic, N.[Nikola],
Loncaric, S.[Sven],
Color Badger: A Novel Retinex-Based Local Tone Mapping Operator,
ICISP14(400-408).
Springer DOI
1406
BibRef
And:
Improving the white patch method by subsampling,
ICIP14(605-609)
IEEE DOI
1502
BibRef
And:
Improving the Tone Mapping Operators by Using a Redefined Version of
the Luminance Channel,
ICISP14(392-399).
Springer DOI
1406
Accuracy.
BibRef
Iwahashi, M.[Masahiro],
Kiya, H.[Hitoshi],
Noise bias compensation of tone mapped noisy image,
ICIP14(2654-2658)
IEEE DOI
1502
Estimation. Noise after tone mapping.
BibRef
Hore, A.[Alain],
Yadid-Pecht, O.[Orly],
A New Filter for Reducing HALO Artifacts in Tone Mapped Images,
ICPR14(889-894)
IEEE DOI
1412
Dynamic range
BibRef
Murofushi, T.[Tatsuya],
Dobashi, T.[Toshiyuki],
Iwahashi, M.[Masahiro],
Kiya, H.[Hitoshi],
An integer tone mapping operation for HDR images in OpenEXR with
denormalized numbers,
ICIP14(4497-4501)
IEEE DOI
1502
Dynamic range
BibRef
Artusi, A.,
Akyuz, A.O.,
Roch, B.,
Michael, D.,
Chrysanthou, Y.,
Chalmers, A.,
Selective local tone mapping,
ICIP13(2309-2313)
IEEE DOI
1402
GPU, Tone mapping, high dynamic range imaging, real-time
BibRef
Kovesi, P.,
Phase Preserving Tone Mapping of Non-Photographic High Dynamic Range
Images,
DICTA12(1-8).
IEEE DOI
1303
BibRef
Kuo, P.H.[Pin-Hung],
Tang, C.S.[Chi-Sun],
Chien, S.Y.[Shao-Yi],
Content-adaptive inverse tone mapping,
VCIP12(1-6).
IEEE DOI
1302
BibRef
Kotera, H.[Hiroaki],
Joint Visual Sharpness-Contrast-Tone Mapping Model,
CCIW13(311-323).
Springer DOI
1304
BibRef
Mantiuk, R.[Radoslaw],
Markowski, M.[Mateusz],
Gaze-Dependent Tone Mapping,
ICIAR13(426-433).
Springer DOI
1307
BibRef
Gu, H.X.[Hu-Xiang],
Wang, Y.[Ying],
Xiang, S.M.[Shi-Ming],
Meng, G.F.[Gao-Feng],
Pan, C.H.[Chun-Hong],
Image Guided Tone Mapping with Locally Nonlinear Model,
ECCV12(IV: 786-799).
Springer DOI
1210
See also Image deblurring with matrix regression and gradient evolution.
See also Efficient Image Dehazing with Boundary Constraint and Contextual Regularization.
BibRef
Liu, C.H.[Chun Hung],
Au, O.C.[Oscar C.],
Cheng, C.H.[Cheuk Hong],
Yip, K.Y.[Ka Yue],
Two-level optimized tone mapping for high dynamic range images,
ICIP10(3153-3156).
IEEE DOI
1009
BibRef
Barkowsky, M.[Marcus],
Le Callet, P.[Patrick],
On the perceptual similarity of realistic looking tone mapped High
Dynamic Range images,
ICIP10(3245-3248).
IEEE DOI
1009
BibRef
Jinno, T.[Takao],
Mouri, K.[Kazuya],
Okuda, M.[Masahiro],
HDR video tone mapping based on gamma blending,
ICIP10(2521-2524).
IEEE DOI
1009
BibRef
Qiu, G.P.[Guo-Ping],
Mei, Y.J.[Yu-Jie],
Lam, K.M.[Kin Man],
Qiu, M.[Min],
Tone mapping HDR images using optimization: A general framework,
ICIP10(3129-3132).
IEEE DOI
1009
BibRef
Yamauchi, T.[Takuya],
Mikami, T.[Toshiaki],
Ouda, O.[Osama],
Nakaguchi, T.[Toshiya],
Tsumura, N.[Norimichi],
Improvement and Evaluation of Real-Time Tone Mapping for High Dynamic
Range Images Using Gaze Information,
Gaze10(440-449).
Springer DOI
1109
BibRef
Lu, Z.K.[Zhong-Kang],
Rahardja, S.[Susanto],
Realistic HDR tone-mapping based on contrast perception matching,
ICIP09(1789-1792).
IEEE DOI
0911
Human reaction time on local contrast.
BibRef
Shimoyama, S.[Sohsuke],
Igarashi, M.[Masaki],
Ikebe, M.[Masayuki],
Motohisa, J.[Junich],
Local adaptive tone mapping with composite multiple gamma functions,
ICIP09(3153-3156).
IEEE DOI
0911
BibRef
Benoit, A.[Alexandre],
Alleysson, D.[David],
Herault, J.[Jeanny],
Le Callet, P.[Patrick],
Spatio-temporal Tone Mapping Operator Based on a Retina Model,
CCIW09(12-22).
Springer DOI
0903
BibRef
Lee, C.[Chul],
Kim, C.S.[Chang-Su],
Gradient Domain Tone Mapping of High Dynamic Range Videos,
ICIP07(III: 461-464).
IEEE DOI
0709
BibRef
Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Transform Coding -- General .