Paper
22 April 1996 Anisotropic diffusion of color images
Guillermo Sapiro, Dario L. Ringach
Author Affiliations +
Proceedings Volume 2657, Human Vision and Electronic Imaging; (1996) https://doi.org/10.1117/12.238745
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
Abstract
A new approach for anisotropic diffusion processing of color images is proposed. The main idea of the algorithm is to facilitate diffusion of the image in the direction parallel to color edges. The direction of maximal and minimal color change at each point is computed using the first fundamental form of the image in (L*a*b*) color space. The image (Phi) evolves according to an anisotropic diffusion flow given by (delta) (Phi) /(delta) t equals g((lambda) +, (lambda) -)(delta) 2(Phi) /(delta) (xi) 2, where (xi) is the direction of minimal color change. The diffusion coefficient, g((lambda) +, (lambda) -), is a function of the eigenvalues of the first fundamental form, which represent the maximal and minimal rates of color change. Examples for real color images are presented.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guillermo Sapiro and Dario L. Ringach "Anisotropic diffusion of color images", Proc. SPIE 2657, Human Vision and Electronic Imaging, (22 April 1996); https://doi.org/10.1117/12.238745
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Cited by 12 scholarly publications.
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KEYWORDS
Anisotropic diffusion

Diffusion

RGB color model

Color image processing

Data modeling

Edge detection

Image processing

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