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Optical Engineering

Image vector quantization using geometric transform and lossless index coding
Author(s): Yu-Chen Hu; Chia-Hsien Wen; Chun-Chi Lo; Wu-Lin Chen
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Paper Abstract

We propose an efficient image-coding scheme based on vector quantization (VQ). Typically, image qualities of the compressed images by using VQ are restricted by the codebook used. To provide better image qualities of the compressed images while keeping low bit rates, encoding the geometric transformed image block is associated with VQ. To cut down the bit rates, the index table is further processed by the lossless index coding process. According to the results, it is shown that the proposed scheme achieves better image qualities than VQ while keeping low bit rates.

Paper Details

Date Published: 7 March 2013
PDF: 9 pages
Opt. Eng. 52(3) 037402 doi: 10.1117/1.OE.52.3.037402
Published in: Optical Engineering Volume 52, Issue 3
Show Author Affiliations
Yu-Chen Hu, Providence Univ. (Taiwan)
Chia-Hsien Wen, Providence Univ. (Taiwan)
Chun-Chi Lo, Providence Univ. (Taiwan)
Wu-Lin Chen, Providence Univ. (Taiwan)


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