Logarithmic image processing: additive contrast, multiplicative contrast, and associated metrics

[1]  S. S. Stevens.  On the psychophysical law. , 1957, Psychological review.

[2]  S. S. Stevens.  Concerning the Psychophysical Power Law , 1964 .

[3]  A. Oppenheim,et al.  Nonlinear filtering of multiplied and convolved signals , 1968 .

[4]  Jr. Thomas G. Stockham,et al.  Image processing in the context of a visual model , 1972 .

[5]  W.F. Schreiber,et al.  Image processing for quality improvement , 1978, Proceedings of the IEEE.

[6]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[7]  S. Beucher.  Use of watersheds in contour detection , 1979 .

[8]  Gershon Buchsbaum,et al.  An Analytical Derivation of Visual Nonlinearity , 1980, IEEE Transactions on Biomedical Engineering.

[9]  R. Kohler.  A segmentation system based on thresholding , 1981 .

[10]  A.K. Jain,et al.  Advances in mathematical models for image processing , 1981, Proceedings of the IEEE.

[11]  D.J. Granrath,et al.  The role of human visual models in image processing , 1981, Proceedings of the IEEE.

[12]  Thierry Pun,et al.  Entropic thresholding, a new approach , 1981 .

[13]  Larry S. Davis,et al.  Noisy image restoration by cost function minimization , 1985, Pattern Recognit. Lett..

[14]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[15]  Shmuel Peleg,et al.  Inversion of picture operators , 1987, Pattern Recognit. Lett..

[16]  J. Pinoli.  Contribution a la modelisation, au traitement et a l'analyse d'image , 1987 .

[17]  Jean-Charles Pinoli,et al.  A model for logarithmic image processing , 1988 .

[18]  Thomas G. Stockham,et al.  Toward the unification of three visual laws and two visual models in brightness perception , 1989, IEEE Trans. Syst. Man Cybern..

[19]  M Jourlin,et al.  Contrast definition and contour detection for logarithmic images , 1989, Journal of microscopy.

[20]  L. E. Krueger.  Reconciling Fechner and Stevens: Toward a unified psychophysical law , 1989, Behavioral and Brain Sciences.

[21]  M Jourlin,et al.  Three‐dimensional electron microscopy of entire cells , 1990, Journal of microscopy.

[22]  R. P. Johnson,et al.  Contrast based edge detection , 1990, Pattern Recognit..

[23]  Lester E. Krueger,et al.  Psychophysical law: Taming the cognitive and chaotic aspects , 1991, Behavioral and Brain Sciences.

[24]  Robert A. M. Gregson,et al.  Dead men tell odd simple tales! , 1991, Behavioral and Brain Sciences.

[25]  Maryellen L. Giger,et al.  Quantitative performance evaluation of the EM algorithm applied to radiographic images , 1991, Electronic Imaging.

[26]  Maryellen L. Giger,et al.  Evaluating the EM algorithm for image processing using a human visual fidelity criterion , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

[27]  M L Giger,et al.  Application of the EM algorithm to radiographic images. , 1992, Medical physics.

[28]  Philippe Gremillet.  Reconstruction et visualisation de surfaces et de volumes en microscopie électronique à transmission et en microscopie confocale , 1992 .

[29]  Bernard Roux.  Mise au point d'une méthode d'analyse d'images qui reconnait et quantifie les phases de Clinker , 1993 .

[30]  Guang Deng,et al.  Multiscale image enhancement using the logarithmic image processing model , 1993 .

[31]  M Jourlin,et al.  LIP‐model‐based three‐dimensional reconstruction and visualization of HIV‐infected entire cells , 1994, Journal of microscopy.

[32]  Jean-Charles Pinoli,et al.  Image dynamic range enhancement and stabilization in the context of the logarithmic image processing model , 1995, Signal Process..

[33]  Wen-Hsiang Tsai,et al.  Moment-preserving thresholding: a new approach , 1995 .

[34]  G. R. Tobin,et al.  The study of logarithmic image processing model and its application to image enhancement , 1995, IEEE Trans. Image Process..

[35]  Lawrence O'Gorman,et al.  Document Image Analysis , 1996 .

[36]  Michel Jourlin,et al.  A new minimum variance region growing algorithm for image segmentation , 1997, Pattern Recognit. Lett..

[37]  Jean-Charles Pinoli,et al.  A general comparative study of the multiplicative homomorphic, log-ratio and logarithmic image processing approaches , 1997, Signal Process..

[38]  B. Pumo,et al.  Modèle logarithmique de régression optique. Application à l'identification des fonctions de transmittance , 1998 .

[39]  F. Darsonville.  Segmentation et visualiation d'images 3D : application par croissance de région à l'imagerie médicale dentaire , 1998 .

[40]  Alice Caplier,et al.  Spatiotemporal MRF approach to video segmentation: Application to motion detection and lip segmentation , 1999, Signal Processing.

[41]  M. Jourlin,et al.  Logarithmic image processing: The mathematical and physical framework for the representation and processing of transmitted images , 2001 .

[42]  D. Ville,et al.  Fuzzy Filters for Image Processing , 2003 .

[43]  Color image processing using logarithmic operations , 2003, Signals, Circuits and Systems, 2003. SCS 2003. International Symposium on.

[44]  Cécile Barat,et al.  Line pattern segmentation using morphological probing , 2003, 3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the.

[45]  Cécile Barat,et al.  Pattern matching using morphological probing , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).