標題: HYBRID VECTOR QUANTIZATION
作者: WEN, KA
LU, CY
交大名義發表
電子工程學系及電子研究所
National Chiao Tung University
Department of Electronics Engineering and Institute of Electronics
關鍵字: VISUAL COMMUNICATION;HYBRID VECTOR QUANTIZATION;BLOCK TRUNCATION CODING;DISCRETE COSINE TRANSFORM
公開日期: 1-七月-1993
摘要: Vector quantization (VQ) is a powerful technique for low-bit-rate image coding. However, initial studies of image coding with VQ have revealed that VQ causes degradations, most notably around edges. Moreover, the computational complexity is high. Although a few algorithms have been developed to reduce edge degradation, such as block truncation coding (BTC) with VQ (BTC/VQ) or classified vector quantization, their compression ratios are not satisfactory. Discrete cosine transformation with VQ (DCT/VQ) has been applied to image compression, showing a high compression ratio, but the edge degradation problem still exists. We present an image compression algorithm that takes advantage of the merits of DCT/VQ and BTC/VQ to achieve a high-quality and low-bit-rate compression of images. High quality images can be achieved at rates of 0.34 to 0.46 bit/pixel.
URI: http://dx.doi.org/10.1117/12.141682
http://hdl.handle.net/11536/2950
ISSN: 0091-3286
DOI: 10.1117/12.141682
期刊: OPTICAL ENGINEERING
Volume: 32
Issue: 7
起始頁: 1496
結束頁: 1502
顯示於類別:期刊論文


文件中的檔案:

  1. A1993LM10000010.pdf