Adaptive vector quantization for binary images

被引：0
|
作者：
Allred, RW [1 ]
Christiansen, RW [1 ]
Chabries, DM [1 ]
机构：
[1] Texas Instruments Inc, Digital Speaker Dept, Dallas, TX 75243 USA
来源：
APPLICATIONS OF DIGITAL IMAGE PROCESSING XXIII | 2000年 / 4115卷
关键词：
binary image compression; bi-level image; vector quantization;
D O I：
10.1117/12.411536
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This paper describes a vector quantization variant for lossy compression of binary images. This algorithm, adaptive binary vector quantization for binary images (ABVQ), uses a novel, doubly-adaptive codebook to minimize error while typically achieving compression higher than is achieved by lossless techniques. ABVQ provides sufficient fidelity to be used on text images, line drawings, graphics, or any other binary (two-tone, or bi-level) images. Experimental results are included in the paper.
引用
收藏
页码：113 / 120
页数：8
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