Lossless index coding for indexed colour images

Authors: Hu, Y-C; Chiang, C-Y; Chen, W-L; Chou, W-K

Source: Imaging Science Journal, The, Volume 60, Number 1, February 2012 , pp. 54-63(10)

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Abstract:

This paper presents a simple and efficient index coding method to reduce the storage cost for indexed colour images. The method exploits the high degree of similarity among neighbouring indices by using a sorted palette. The indices that were compressed by the colour image quantisation are classified into three categories. Every category employs a different encoding rule to process the indices. To compress the indices of the second category, two optional approaches are provided. Experimental results show that the proposed method can significantly cut down the number of bit rates without incurring extra image degradation.

Keywords: colour image compression; Huffman code; relatively addressing; colour image quantisation; palette design

Document Type: Research Article

DOI: http://dx.doi.org/10.1179/1743131X11Y.0000000007

Affiliations: Department of Computer Science and Information Management, Providence University, Taichung 433, Republic of China (Taiwan)

Publication date: 2012-02-01

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