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|Title: ||Contextual algorithm for color quantization|
|Authors: ||Yu, M. P.|
Lo, K. C.
|Subjects: ||Image coding|
Image colour analysis
|Issue Date: ||Jul-2003 |
|Publisher: ||SPIE and IS&T|
|Citation: ||Journal of electronic imaging, July 2003, v. 12, no. 3, p. 442-447.|
|Abstract: ||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.|
|Description: ||DOI: 10.1117/1.1586285|
|Rights: ||Copyright 2003 Society of Photo-Optical Instrumentation Engineers and IS&T. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.|
|Type: ||Journal/Magazine Article|
|Appears in Collections:||EIE Journal/Magazine Articles|
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