Title :
Progressive Ziv-Lempel encoding of synthetic images
Author :
Greene, Daniel ; Vishwanath, Mohan ; Yao, Frances ; Zhang, Tong
Author_Institution :
Xerox Palo Alto Res. Center, CA, USA
Abstract :
Summary form only given. We describe an algorithm that gives a progression of compressed versions of a single image. Each stage of the progression is a lossy compression of the image, with the distortion decreasing in each stage, until the last image is losslessly compressed. Both compressor and decompressor make use of earlier stages to significantly improve the compression of later stages of the progression. Our algorithm uses vector quantization to improve the distortion at the beginning of the progression, and adapts Ziv and Lempel´s algorithm to make it efficient for progressive encoding
Keywords :
image coding; vector quantisation; Ziv-Lempel encoding; distortion; image coding; lossy compression; progressive encoding; synthetic images; vector quantization; Algorithm design and analysis; Computer science; Data structures; Dictionaries; Encoding; Image coding; Image quality; Testing; Vector quantization;
Conference_Titel :
Data Compression Conference, 1997. DCC '97. Proceedings
Conference_Location :
Snowbird, UT
Print_ISBN :
0-8186-7761-9
DOI :
10.1109/DCC.1997.582099