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1 July 2010 Spatial-gradient-local-inhomogeneity: an efficient image-denoising prior
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We provide an efficient image-denoising prior, spatial-gradient-local-inhomogeneity (SGLI), which can be successfully applied to image reconstruction. The SGLI prior employs two complementary discontinuity measures: spatial gradient and local inhomogeneity. The spatial gradient measures effectively preserves strong edge components of images, while the local inhomogeneity measure successfully detects locations of the significant discontinuities considering uniformity of small regions. The two complementary measures are elaborately combined into the SGLI prior for image denoising. Thus, the SGLI prior effectively preserves feature components such as edges and textures of images while reducing noise. Comparative results indicate that the proposed SGLI prior is very effective in dealing with the image denoising problem from corrupted images.
©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)
Cheolkon Jung, Licheng Jiao, Hyungseok Kim, and Joongkyu Kim "Spatial-gradient-local-inhomogeneity: an efficient image-denoising prior," Journal of Electronic Imaging 19(3), 033005 (1 July 2010).
Published: 1 July 2010

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