QBRIX: a quantile-based approach to retinex.

In this paper, we introduce a novel probabilistic version of retinex. It is based on a probabilistic formalization of the random spray retinex sampling and contributes to the investigation of the spatial properties of the model. Various versions available of the retinex algorithm are characterized by different procedures for exploring the image content (so as to obtain, for each pixel, a reference white value), then used to rescale the pixel lightness. Here we propose an alternative procedure, which computes the reference white value from the percentile values of the pixel population. We formalize two versions of the algorithm: one with global and one with local behavior, characterized by different computational costs.

[1]  Graham D. Finlayson,et al.  Color by Correlation , 1997, CIC.

[2]  Paul C. Bressloff,et al.  Visual cortex and the Retinex algorithm , 2002, IS&T/SPIE Electronic Imaging.

[3]  C. L. Fales,et al.  Visual communication with retinex coding. , 2000, Applied optics.

[4]  S. Shevell.  The Science of Color , 2003 .

[5]  John J. McCann,et al.  Retinex in Matlab , 2000, CIC.

[6]  Robert Sobol,et al.  Improving the Retinex algorithm for rendering wide dynamic range photographs , 2002, IS&T/SPIE Electronic Imaging.

[7]  Farhan A. Baqai,et al.  Analysis and extensions of the Frankle-McCann Retinex algorithm , 2004, J. Electronic Imaging.

[8]  Michael Elad,et al.  A Variational Framework for Retinex , 2002, IS&T/SPIE Electronic Imaging.

[9]  R. Stuewer.  Sources of Color Science. David L. MacAdam , 1971 .

[10]  Laurence Meylan,et al.  High dynamic range image rendering with a retinex-based adaptive filter , 2006, IEEE Transactions on Image Processing.

[11]  Alessandro Rizzi,et al.  On the behavior of spatial models of color , 2007, Electronic Imaging.

[12]  Zia-ur Rahman,et al.  Properties and performance of a center/surround retinex , 1997, IEEE Trans. Image Process..

[13]  Carlo Gatta,et al.  Perceptually inspired HDR images tone mapping with color correction , 2008 .

[14]  Marcelo Bertalmío,et al.  Implementing the Retinex algorithm with Wilson–Cowan equations , 2009, Journal of Physiology-Paris.

[15]  David L. MacAdam,et al.  Sources of Color Science , 1972 .

[16]  E H Land,et al.  Recent advances in retinex theory and some implications for cortical computations: color vision and the natural image. , 1983, Proceedings of the National Academy of Sciences of the United States of America.

[17]  Roberto Montagna,et al.  Constrained pseudo-Brownian motion and its application to image enhancement. , 2011, Journal of the Optical Society of America. A, Optics, image science, and vision.

[18]  Alessandro Rizzi,et al.  Unsupervised digital movie restoration with spatial models of color , 2014, Multimedia Tools and Applications.

[19]  Raimondo Schettini,et al.  Retinex preprocessing of uncalibrated images for color-based image retrieval , 2003, J. Electronic Imaging.

[20]  Alessandro Rizzi,et al.  Color constancy measurements for synthetic image generation , 1999, J. Electronic Imaging.

[21]  Alessandro Rizzi,et al.  Unsupervised corrections of unknown chromatic dominants using a Brownian-path-based Retinex algorithm , 2003, J. Electronic Imaging.

[22]  Edoardo Provenzi,et al.  Issues About Retinex Theory and Contrast Enhancement , 2009, International Journal of Computer Vision.

[23]  Carlo Gatta,et al.  A Spatially Variant White-Patch and Gray-World Method for Color Image Enhancement Driven by Local Contrast , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[24]  Carlo Gatta,et al.  A new algorithm for unsupervised global and local color correction , 2003, Pattern Recognit. Lett..

[25]  Alessandro Rizzi,et al.  Mathematical definition and analysis of the retinex algorithm. , 2005, Journal of the Optical Society of America. A, Optics, image science, and vision.

[26]  S. McKee,et al.  Quantitative studies in retinex theory a comparison between theoretical predictions and observer responses to the “color mondrian” experiments , 1976, Vision Research.

[27]  Alessandro Rizzi,et al.  A computational approach to color adaptation effects , 2000, Image Vis. Comput..

[28]  Alessandro Rizzi,et al.  Random Spray Retinex: A New Retinex Implementation to Investigate the Local Properties of the Model , 2007, IEEE Transactions on Image Processing.

[29]  E. Land,et al.  Lightness and retinex theory. , 1971, Journal of the Optical Society of America.

[30]  Daniele Marini,et al.  LUT and multilevel Brownian Retinex colour correction , 2002 .

[31]  Brian V. Funt,et al.  Investigations into Multi-Scale Retinex , 1998 .

[32]  Michael Elad,et al.  Reduced complexity Retinex algorithm via the variational approach , 2003, J. Vis. Commun. Image Represent..

[33]  Michael Elad,et al.  Retinex by Two Bilateral Filters , 2005, Scale-Space.