5.4.3.6.2 Tone Mapping of Images

Chapter Contents (Back)
Compression. Tone Mapping. Color Quantization. Often for compression of HDR images. See also HDR, High Dynamic Range, Enhanced Dynamic Range from Multiple Images.

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.
WWW Link. 0707
BibRef
And: Erratum: PR(41), No. 4, April 2008, pp. 1428.
WWW Link. 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

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.
WWW Link. 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.
WWW Link. 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.
WWW Link. 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

Chen, Y., Lin, W., Zhang, C., Chen, Z., Xu, N., Xie, J.,
Intra-and-Inter-Constraint-Based Video Enhancement Based on Piecewise Tone Mapping,
CirSysVideo(23), No. 1, January 2013, pp. 74-82.
IEEE DOI 1302
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

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

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

Abebe, M.A.[Mekides Assefa], Booth, A.[Alexandra], Kervec, J.[Jonathan], Pouli, T.[Tania], Larabi, M.C.[Mohamed-Chaker],
Towards an automatic correction of over-exposure in photographs: Application to tone-mapping,
CVIU(168), 2018, pp. 3-20.
Elsevier DOI 1804
Image enhancement, Over-exposure correction, High dynamic range imaging, 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.[Xixi], 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

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

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, Computer vision, 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), No. , 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

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

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

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

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

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

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

Song, Q., Su, G.M., Cosman, P.C.,
Hardware-efficient debanding and visual enhancement filter for inverse tone mapped high dynamic range images and videos,
ICIP16(3299-3303)
IEEE DOI 1610
Dynamic range BibRef