5.3.10.6 Noise Models, Digitization Noise

Chapter Contents (Back)
Noise Models. See also Image Quality Evaluation, Visual Quality, Quality Assessment, and Imaging Models. See also Image Restoration -- General, Survey, Evaluations.

Cortelazzo, G.M., Mian, G.A., Parolari, R.,
Statistical characteristics of granular camera noise,
CirSysVideo(4), No. 6, December 1994, pp. 536-543.
IEEE Top Reference. 0206
BibRef

Huang, Y.C., Liu, W.B.,
Building the Estimation Model of Digitizing Error,
PhEngRS(63), No. 10, October 1997, pp. 1203-1209. 9710
BibRef

Smith, E.H.B.[Elisa H. Barney],
Characterization of image degradation caused by scanning,
PRL(19), No. 13, November 1998, pp. 1191-1197. BibRef 9811

Smith, E.H.B.,
Scanner parameter estimation using bilevel scans of star charts,
ICDAR01(1164-1168).
IEEE DOI 0109
BibRef

Gravel, P., Beaudoin, G., de Guise, J.A.,
A Method for Modeling Noise in Medical Images,
MedImg(23), No. 10, October 2004, pp. 1221-1232.
IEEE Abstract. 0410
BibRef

Grimble, M.J.,
Restricted-structure linear estimators for multiple-model systems,
VISP(147), No. 3, 2000, pp. 193-204. 0008
BibRef

Grimble, M.J.,
Restricted structure optimal linear estimators,
VISP(151), No. 5, October 2004, pp. 400-410.
IEEE Abstract. 0501
estimation of a signal heavily contaminated by both coloured and white noise BibRef

Akbarpour, R.[Reza], Friedman, S.N.[Saul N.], Siewerdsen, J.H.[Jeffrey H.], Neary, J.D.[John D.], Cunningham, I.A.[Ian A.],
Signal and noise transfer in spatiotemporal quantum-based imaging systems,
JOSA-A(24), No. 12, December 2007, pp. B151-B164.
WWW Link. 0801
Noise analysis in images. (X-Ray imaging) BibRef

Chandler, D.M., Hemami, S.S.,
VSNR: A Wavelet-Based Visual Signal-to-Noise Ratio for Natural Images,
IP(16), No. 9, September 2007, pp. 2284-2298.
IEEE DOI 0709
BibRef

Shekter, J.M.[Jonathan Martin],
System for manipulating noise in digital images,
US_Patent6,990,252, Jan 24, 2006
WWW Link. based on constant color regions BibRef 0601

Abbey, C.K.[Craig K.], Eckstein, M.P.[Miguel P.],
Classification images for simple detection and discrimination tasks in correlated noise,
JOSA-A(24), No. 12, December 2007, pp. B110-B124.
WWW Link. 0801
Quality assessment. BibRef

Bobrov, S.[Saar], Schechner, Y.Y.[Yoav Y.],
Image-based prediction of imaging and vision performance,
JOSA-A(24), No. 7, July 2007, pp. 1920-1929.
WWW Link. 0801
Predict performance of a sensor (IR) using all sources of distortion and noise. BibRef

Bae, S.H.[Soo Hyun], Pappas, T.N., Juang, B.H.[Biing-Hwang],
Subjective Evaluation of Spatial Resolution and Quantization Noise Tradeoffs,
IP(18), No. 3, March 2009, pp. 495-508.
IEEE DOI 0903
BibRef
Earlier:
Subjective Image Quality Tradeoffs Between Spatial Resolution and Quantization Noise,
ICIP06(2957-2960).
IEEE DOI 0610
BibRef

Vollmerhausen, R.H.[Richard H.], Driggers, R.G.[Ronald G.], Wilson, D.L.[David L.],
Predicting range performance of sampled imagers by treating aliased signal as target-dependent noise Open Access open access,
JOSA-A(25), No. 8, August 2008, pp. 2055-2065.
WWW Link. 0804
BibRef

Cohen, E.[Erez], Yitzhaky, Y.[Yitzhak],
No-reference assessment of blur and noise impacts on image quality,
SIViP(4), No. 3, September 2010, pp. 289-302.
WWW Link. 1011
BibRef

Hwang, Y.B.[Young-Bae], Kim, J.S.[Jun-Sik], Kweon, I.S.[In So],
Difference-Based Image Noise Modeling Using Skellam Distribution,
PAMI(34), No. 7, July 2012, pp. 1329-1341.
IEEE DOI 1205
Noise model from quantum analysis. BibRef

Hwang, Y.B.[Young-Bae], Kweon, I.S.[In-So],
A Probabilistic Derivative Measure Based on the Distribution of Intensity Difference,
ECCV12(VI: 143-157).
Springer DOI 1210
BibRef

Menon, R., Gerstoft, P., Hodgkiss, W.S.,
Effect of Medium Attenuation on the Asymptotic Eigenvalues of Noise Covariance Matrices,
SPLetters(20), No. 5, May 2013, pp. 435-438.
IEEE DOI 1304
BibRef

Amano, Y.[Yusuke], Ohashi, G.[Gosuke], Yoshifumi, S.[Shimodaira],
Pixel-Wise Noise Level Estimation for Images,
IEICE(E96-A), No.8, August, 2013, pp. 1821-1823.
WWW Link. 1309
BibRef

Laligant, O., Truchetet, F., Fauvet, E.,
Noise Estimation From Digital Step-Model Signal,
IP(22), No. 12, 2013, pp. 5158-5167.
IEEE DOI 1312
CCD image sensors BibRef

Sur, F.[Frédéric], Grédiac, M.[Michel],
Sensor Noise Modeling by Stacking Pseudo-Periodic Grid Images Affected by Vibrations,
SPLetters(21), No. 4, April 2014, pp. 432-436.
IEEE DOI 1403
image processing BibRef

Sur, F.[Frederic],
An a-contrario approach to quasi-periodic noise removal,
ICIP15(3841-3845)
IEEE DOI 1512
a-contrario method; quasi-periodic noise BibRef

Sur, F.[Frédéric], Grédiac, M.[Michel],
Measuring the Noise of Digital Imaging Sensors by Stacking Raw Images Affected by Vibrations and Illumination Flickering,
SIIMS(8), No. 1, 2015, pp. 611-643.
DOI Link 1504
BibRef

Sur, F.[Frédéric], Grédiac, M.[Michel],
Influence of the Analysis Window on the Metrological Performance of the Grid Method,
JMIV(56), No. 3, November 2016, pp. 472-498.
WWW Link. 1609
BibRef

Colom, M.[Miguel], Buades, A.[Antoni], Morel, J.M.[Jean-Michel],
Nonparametric noise estimation method for raw images,
JOSA-A(31), No. 4, April 2014, pp. 863-871.
DOI Link 1404
Detectors. Rather than compressed images. BibRef

Colom, M.[Miguel], Lebrun, M., Buades, A.[Antoni], Morel, J.M.[Jean-Michel],
Nonparametric Multiscale Blind Estimation of Intensity-Frequency-Dependent Noise,
IP(24), No. 10, October 2015, pp. 3162-3175.
IEEE DOI 1507
BibRef
Earlier:
A non-parametric approach for the estimation of intensity-frequency dependent noise,
ICIP14(4261-4265)
IEEE DOI 1502
cameras. Discrete cosine transforms BibRef

Liu, X.H.[Xin-Hao], Tanaka, M.[Masayuki], Okutomi, M.[Masatoshi],
Practical Signal-Dependent Noise Parameter Estimation From a Single Noisy Image,
IP(23), No. 10, October 2014, pp. 4361-4371.
IEEE DOI 1410
BibRef
And:
Signal dependent noise removal from a single image,
ICIP14(2679-2683)
IEEE DOI 1502
BibRef
Earlier:
Estimation of signal dependent noise parameters from a single image,
ICIP13(79-82)
IEEE DOI 1402
AWGN. Image processing BibRef

Pollok, A., Chen, Y.[Ying], Haley, D., Davis, L.M.,
Quantization Noise Mitigation via Parallel ADCs,
SPLetters(21), No. 12, December 2014, pp. 1491-1495.
IEEE DOI 1410
analogue-digital conversion BibRef

Hernandez, L., Gutierrez, E.,
Analytical Evaluation of VCO-ADC Quantization Noise Spectrum Using Pulse Frequency Modulation,
SPLetters(22), No. 2, February 2015, pp. 249-253.
IEEE DOI 1410
Discrete Fourier transforms BibRef

Golts, A.[Alex], Schechner, Y.Y.[Yoav Y.],
Cutoff due to pointwise degradations in color images,
JOSA-A(31), No. 12, December 2014, pp. 2711-2718.
DOI Link 1412
Low light level. Resolution limits. BibRef

Reinhardt, M., Noack, B., Arambel, P.O., Hanebeck, U.D.,
Minimum Covariance Bounds for the Fusion under Unknown Correlations,
SPLetters(22), No. 9, September 2015, pp. 1210-1214.
IEEE DOI 1503
distributed linear estimation. correlation theory BibRef

Li, B.[Bin], Ng, T.T.[Tian-Tsong], Li, X.L.[Xiao-Long], Tan, S.Q.[Shun-Quan], Huang, J.W.[Ji-Wu],
Statistical Model of JPEG Noises and Its Application in Quantization Step Estimation,
IP(24), No. 5, May 2015, pp. 1471-1484.
IEEE DOI 1504
data compression BibRef

Aja-Fernández, S.[Santiago], Pieciak, T.[Tomasz], Vegas-Sánchez-Ferrero, G.[Gonzalo],
Spatially variant noise estimation in MRI: A homomorphic approach,
MIA(20), No. 1, 2015, pp. 184-197. 1506
BibRef

Cheremkhin, P.[Pavel], Evtikhiev, N.[Nikolay], Krasnov, V.[Vitaly], Rodin, V.[Vladislav], Starikov, R.[Rostislav], Starikov, S.[Sergey],
Measuring random sensor noise in cameras,
SPIE(Newsroom), May 12, 2015.
DOI Link 1507
A modified method enables fast and accurate measurement of temporal noise in photo and video camera sensors using a remarkably small number of reference frames. BibRef

Tang, C., Yang, X., Zhai, G.,
Noise Estimation of Natural Images via Statistical Analysis and Noise Injection,
CirSysVideo(25), No. 8, August 2015, pp. 1283-1294.
IEEE DOI 1508
Discrete cosine transforms BibRef

Wu, C.H.[Cheng-Ho], Chang, H.H.[Herng-Hua],
Superpixel-based image noise variance estimation with local statistical assessment,
JIVP(2015), No. 1, 2015, pp. 38.
DOI Link 1601
BibRef

Sutour, C.[Camille], Deledalle, C.A.[Charles-Alban], Aujol, J.F.[Jean-François],
Estimation of the Noise Level Function Based on a Nonparametric Detection of Homogeneous Image Regions,
SIIMS(8), No. 4, 2015, pp. 2622-2661.
DOI Link 1601
BibRef

Jiang, P.[Ping], Zhang, J.Z.[Jian-Zhou],
Fast and reliable noise level estimation based on local statistic,
PRL(78), No. 1, 2016, pp. 8-13.
Elsevier DOI 1606
BibRef
Earlier:
Fast and reliable noise estimation algorithm based on statistical hypothesis tests,
VCIP12(1-5).
IEEE DOI 1302
White Gaussian noise BibRef

Kim, D.S.[Dong Sik],
Noise Power Spectrum Measurements in Digital Imaging With Gain Nonuniformity Correction,
IP(25), No. 8, August 2016, pp. 3712-3722.
IEEE DOI 1608
image sensors BibRef

Dong, L., Zhou, J., Tang, Y.Y.,
Noise Level Estimation for Natural Images Based on Scale-Invariant Kurtosis and Piecewise Stationarity,
IP(26), No. 2, February 2017, pp. 1017-1030.
IEEE DOI 1702
Gaussian noise BibRef

Zhu, F.Y.[Feng-Yuan], Chen, G.Y.[Guang-Yong], Hao, J.Y.[Jian-Ye], Heng, P.A.[Pheng-Ann],
Blind Image Denoising via Dependent Dirichlet Process Tree,
PAMI(39), No. 8, August 2017, pp. 1518-1531.
IEEE DOI 1707
BibRef
Earlier: A1, A2, A4, Only:
From Noise Modeling to Blind Image Denoising,
CVPR16(420-429)
IEEE DOI 1612
BibRef
Earlier: A2, A1, A4, Only:
An Efficient Statistical Method for Image Noise Level Estimation,
ICCV15(477-485)
IEEE DOI 1602
Bayes methods, Data models, Gaussian distribution, Image denoising, Mixture models, Noise measurement, Noise reduction, Bayesian nonparametrics, Image denoising, dependent Dirichlet process, noise modeling, patch modeling, variational inference. Covariance matrices BibRef

Lavrenko, A., Römer, F., Galdo, G.D., Thomä, R.,
On the SNR Variability in Noisy Compressed Sensing,
SPLetters(24), No. 8, August 2017, pp. 1148-1152.
IEEE DOI 1708
compressed sensing, matrix algebra, signal sampling, CS, SNR variability, compressive measurements, noise folding effect, noisy compressed sensing, nonuniform system performance, sampling paradigm, sensing matrix, signal- to-noise ratio degradation, Compressed sensing, Noise measurement, Power measurement, Probability distribution, Sensors, Signal to noise ratio, Sparse matrices, Noise folding, noisy compressed sensing (CS), sensing matrix, signal-to-noise ratio (SNR) variability, sparse, signals BibRef

Xu, S., Zeng, X., Jiang, Y., Tang, Y.,
A Multiple Image-Based Noise Level Estimation Algorithm,
SPLetters(24), No. 11, November 2017, pp. 1701-1705.
IEEE DOI 1710
Databases, Estimation, Feature extraction, Image resolution, Noise level, Noise measurement, Computational efficiency, image denoising, local means estimation, multiple image-based approach, noise level estimation (NLE), noise, level-aware, feature, vector BibRef


Pomenkova, J., Klejmova, E., Malach, T.,
Evaluation of background noise for significance level identification,
WSSIP17(1-5)
IEEE DOI 1707
Continuous wavelet transforms, Image processing, Testing, Time series analysis, Time-frequency analysis, Background noise, Significance testing, Singular value decomposition, Time-frequency, analysis BibRef

Turajlic, E., Škaljo, N., Begovic, A.,
A block-based noise level estimation from X-ray images in SVD domain,
WSSIP17(1-5)
IEEE DOI 1707
Algorithm design and analysis, Estimation, Image segmentation, Noise level, Noise measurement, X-ray imaging, Additive white Gaussian noise, Block-based methods, Noise estimation, Singular, value, decomposition BibRef

Huang, X.T.[Xiao-Tong], Chen, L.[Li], Tian, J.[Jing],
Path vs. destination: A case study of blind noise assessment using modified ant shortest path,
ICIP15(4170-4174)
IEEE DOI 1512
Blind noisy assessment BibRef

Ravi, H.[Hareesh], Subramanyam, A.V., Emmanuel, S.[Sabu],
Spatial domain quantization noise based image filtering detection,
ICIP15(1180-1184)
IEEE DOI 1512
Filtering detection; JPEG and TIFF; Markov features; Quantization noise BibRef

Afonso, M.[Manya], Sanches, J.M.[J. Miguel],
Noise Decomposition Using Polynomial Approximation,
IbPRIA15(157-164).
Springer DOI 1506
BibRef

Kou, T.T.[Ting-Ting], Yang, L.[Lei], Wan, Y.[Yi],
Accurate image noise level estimation by high order polynomial local surface approximation and statistical inference,
VCIP14(362-365)
IEEE DOI 1504
image denoising BibRef

Sur, F.[Frederic], Grediac, M.[Michel],
Sensor noise measurement in the presence of a flickering illumination,
ICIP14(1763-1767)
IEEE DOI 1502
Cameras BibRef

Stankiewicz, O., Domanski, M., Wegner, K.,
Analysis of noise in multi-camera systems,
3DTV-CON14(1-4)
IEEE DOI 1409
image denoising BibRef

Bhattacharya, A., Palit, S.,
Determination of the cause and amount of image degradation using a reduced reference approach,
IVCNZ13(418-423)
IEEE DOI 1402
Gaussian noise BibRef

Shih, Y.C.[Yi-Chang], Kwatra, V.[Vivek], Chinen, T.[Troy], Fang, H.[Hui], Ioffe, S.[Sergey],
Joint Noise Level Estimation from Personal Photo Collections,
ICCV13(2896-2903)
IEEE DOI 1403
Photo collections; image noise estimation and denoising BibRef

Vasuki, P., Bhavana, C., Roomi, S.M.M.[S. Mohamed Mansoor], Deebikaa, E.L.[E. Lakshmi],
Automatic noise identification in images using moments and neural network,
IMVIP12(61-64).
IEEE DOI 1302
BibRef

Meza, P.[Pablo], San Martin, C.[César], Vera, E.[Esteban], Torres, S.N.[Sergio N.],
A Quantitative Evaluation of Fixed-Pattern Noise Reduction Methods in Imaging Systems,
CIARP10(285-294).
Springer DOI 1011
BibRef

Kurimo, E.[Eero], Lepistö, L.[Leena], Nikkanen, J.[Jarno], Grén, J.[Juuso], Kunttu, I.[Iivari], Laaksonen, J.T.[Jorma T.],
The Effect of Motion Blur and Signal Noise on Image Quality in Low Light Imaging,
SCIA09(81-90).
Springer DOI 0906
BibRef

Zhang, W.W.[Wen-Wen], Chen, Q.[Qian],
Signal-to-noise ratio performance comparison of Electron Multiplying CCD and Intensified CCD detectors,
IASP09(337-341).
IEEE DOI 0904
BibRef

Goebel, P.M.[Peter Michael], Belbachir, A.N.[Ahmed Nabil], Truppe, M.[Michael],
A Study on the Influence of Image Dynamics and Noise on the JPEG 2000 Compression Performance for Medical Images,
CVAMIA06(214-224).
Springer DOI 0605
BibRef

Du, J., Xie, S.L.[Sheng-Li], Yu, Y.L.[Ying-Lin],
Quality Assessment Based on Noise Influencing Force,
ICIP05(III: 481-484).
IEEE DOI 0512
BibRef

Salmeri, M., Mencattini, A., Ricci, E., Salsano, A.,
Noise Estimation in Digital Images Using Fuzzy Processing,
ICIP01(I: 517-520).
IEEE DOI 0108
BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Motion Coding Evaluation, Video Quality, Video Image Quality Evaluations .


Last update:Nov 18, 2017 at 20:56:18