Paper
18 January 2010 The use of spatially based complexity measures towards color gamut mapping and image resizing
Vishal Monga, Raja Bala, Claude Fillion
Author Affiliations +
Proceedings Volume 7528, Color Imaging XV: Displaying, Processing, Hardcopy, and Applications; 75280H (2010) https://doi.org/10.1117/12.843246
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
Abstract
Several color-imaging algorithms such as color gamut mapping to a target device and resizing of color images have traditionally involved pixel-wise operations. That is, each color value is processed independent of its neighbors in the image. In recent years, applications such as spatial gamut mapping have demonstrated the virtues of incorporating spatial context into color processing tasks. In this paper, we investigate the use of locally based measures of image complexity such as the entropy to enhance the performance of two color imaging algorithms viz. spatial gamut mapping and content-aware resizing of color images. When applied to spatial gamut mapping (SGM), the use of these spatially based local complexity measures helps adaptively determine gamut mapping parameters as a function of image content - hence eliminating certain artifacts commonly encountered in SGM algorithms. Likewise, developing measures of complexity of color-content in a pixel neighborhood can help significantly enhance performance of content-aware resizing algorithms for color images. While the paper successfully employs intuitively based measures of image complexity, it also aims to bring to light potentially greater rewards that may be reaped should more formal measures of local complexity of color content be developed.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vishal Monga, Raja Bala, and Claude Fillion "The use of spatially based complexity measures towards color gamut mapping and image resizing", Proc. SPIE 7528, Color Imaging XV: Displaying, Processing, Hardcopy, and Applications, 75280H (18 January 2010); https://doi.org/10.1117/12.843246
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KEYWORDS
Image filtering

Image processing

Algorithm development

Color imaging

Optical filters

Printing

Image enhancement

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