Logarithmic image processing: The mathematical and physical framework for the representation and processing of transmitted images

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

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

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

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

[5]  M. Carter.  Computer graphics: Principles and practice , 1997 .

[6]  J. Pinoli,et al.  Justifications physiques et applications du modèle LIP pour le traitement des images obtenues en lumière transmise , 1996 .

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

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

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

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

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

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

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

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

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

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

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

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

[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]  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..

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

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

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

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

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

[27]  David Marr,et al.  VISION A Computational Investigation into the Human Representation and Processing of Visual Information , 2009 .

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

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

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

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

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

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

[34]  Gustav Theodor Fechner,et al.  Elements of psychophysics , 1966 .

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

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