1 July 2003 Contextual algorithm for color quantization
Mei Ping Yu, Ken K.C. Lo
Author Affiliations +
We propose a heuristic approach to color quantize images with contextual information taken into consideration. The idea is to locate the regions of an image having the greatest need for colors, and allocate more quantization levels to them. We achieve this by scanning the elements of the input image in a way determined by their local intensity and selecting the color representatives that comprise the color map according to their local popularity. The overall performance of the color quantization algorithm is evaluated on a representative set of artificial and real images. The experimental results indicate good performance of our proposed algorithm with the capability to focus on the regions of an image having important color information.
©(2003) Society of Photo-Optical Instrumentation Engineers (SPIE)
Mei Ping Yu and Ken K.C. Lo "Contextual algorithm for color quantization," Journal of Electronic Imaging 12(3), (1 July 2003). https://doi.org/10.1117/1.1586285
Published: 1 July 2003
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CITATIONS
Cited by 2 scholarly publications and 39 patents.
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KEYWORDS
Image segmentation

Quantization

Diffusion

RGB color model

Error analysis

Image processing algorithms and systems

Image processing

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