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.

引用

页数：9