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Multi-quantized Image Compression using Wavelet Transform  

Piao, Yong-Ri (부경대학교 정보통신공학과)
Kim, Seok-Tae (부경대학교 정보통신공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.10, no.3, 2006 , pp. 453-458 More about this Journal
Abstract
This paper proposed the method for restorable lossy mage compression using wavelet transformation. In order to increase compression efficiency, this algorithm subbands with the wavelet transformation filter after processing the pre-quantizer on the original images. Then, it quantizes its wavelet coefficients by using the Huffman Coding. Comparing to the JPEG or non pre-quantized images, the reconstructed images by the proposed algorithm showed higher PSNR. By applying pre-quantizing process, it will be possible to control the peak errors and it is also expected to be useful at mass image compressions.
Keywords
Wavelet Transform; Huffman coding; PSNR;
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