Weight model based image compression method. Part II: Image compression

被引：0
|
作者：
Lyasheva, Stella A. [1 ]
Morozov, Oleg G. [1 ]
Shleymovich, Mikhail P. [1 ]
机构：
[1] Kazan Natl Res Tech Univ, Kazan 420107, Tatarstan, Russia
来源：
OPTICAL TECHNOLOGIES FOR TELECOMMUNICATIONS 2020 | 2021年 / 11793卷
基金：
俄罗斯基础研究基金会;
关键词：
image processing; image compression; wavelet transform; weight model; significance of wavelet coefficients; data coding;
D O I：
10.1117/12.2593042
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, an image compression method based on a weight model was proposed, which allows one to estimate the significance of the detailing coefficients of the orthogonal multiple-scale wavelet transform in terms of their contribution to the total image energy. The method presupposes the decomposition of the original image into a given number of levels, construction of significance maps for the detailing coefficients of each level, and coding of the significant coefficients. The software implementation of the proposed method in a high-level language is described, which made it possible to reduce the volume of standard test halftone images by at least six times.
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页数：9
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