Poisson Approximation to Image Sensor Noise

[1]  Elaine W. Jin.  Image quality quantification in camera phone applications , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[2]  Richard Szeliski,et al.  Noise Estimation from a Single Image , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[3]  Glenn Healey,et al.  Radiometric CCD camera calibration and noise estimation , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  P. Besbeas,et al.  A Comparative Simulation Study of Wavelet Shrinkage Estimators for Poisson Counts , 2004 .

[5]  Karen O. Egiazarian,et al.  Practical Poissonian-Gaussian Noise Modeling and Fitting for Single-Image Raw-Data , 2008, IEEE Transactions on Image Processing.

[6]  A. Foi,et al.  Noise variance estimation in nonlocal transform domain , 2009, 2009 International Workshop on Local and Non-Local Approximation in Image Processing.

[7]  Richard Szeliski,et al.  Automatic Estimation and Removal of Noise from a Single Image , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  G. Nason,et al.  A Haar-Fisz Algorithm for Poisson Intensity Estimation , 2004 .

[9]  Martin J. Wainwright,et al.  Image denoising using scale mixtures of Gaussians in the wavelet domain , 2003, IEEE Trans. Image Process..

[10]  Anastasios N. Venetsanopoulos,et al.  Generalized homomorphic and adaptive order statistic filters for the removal of impulsive and signal-dependent noise , 1987 .

[11]  Stephen C. Cain,et al.  Projection-based image registration in the presence of fixed-pattern noise , 2001, IEEE Trans. Image Process..

[12]  F. J. Anscombe,et al.  THE TRANSFORMATION OF POISSON, BINOMIAL AND NEGATIVE-BINOMIAL DATA , 1948 .

[13]  W. B. Collis,et al.  Training Methods for Image Noise Level Estimation on Wavelet Components , 2004, EURASIP J. Adv. Signal Process..

[14]  L. Mandel,et al.  Photon-antibunching and sub-Poissonian photon statistics. , 1990, Physical review. A, Atomic, molecular, and optical physics.

[15]  S. Mallat.  A wavelet tour of signal processing , 1998 .

[16]  J. Tukey,et al.  Transformations Related to the Angular and the Square Root , 1950 .

[17]  Hugues Talbot,et al.  Efficient Poisson denoising for photography , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

[18]  Mohamed-Jalal Fadili,et al.  Wavelets, Ridgelets, and Curvelets for Poisson Noise Removal , 2008, IEEE Transactions on Image Processing.

[19]  K. Egiazarian,et al.  Noise Measurement for Raw-Data of Digital Imaging Sensors by Automatic Segmentation of Nonuniform Targets , 2007, IEEE Sensors Journal.

[20]  Vladimir V. Lukin,et al.  Segmentation-based method for blind evaluation of noise variance in images , 2008 .

[21]  U. Fano.  Ionization Yield of Radiations. II. The Fluctuations of the Number of Ions , 1947 .

[22]  D. Cox,et al.  An Analysis of Transformations , 1964 .

[23]  Edwin L. Crow,et al.  A Two-Parameter Family of Hyper-Poisson Distributions , 1964 .