Weight model based image compression method, part II: image compression

Stella A. Lyasheva; Oleg G. Morozov; Mikhail P. Shleymovich

doi:10.1117/12.2593042

22 June 2021 Weight model based image compression method, part II: image compression

Stella A. Lyasheva, Oleg G. Morozov, Mikhail P. Shleymovich

Proceedings Volume 11793, Optical Technologies for Telecommunications 2020; 1179313 (2021) https://doi.org/10.1117/12.2593042
Event: Eighteenth International Scientific and Technical Conference "Optical Technologies for Communications", 2020, Samara, Russian Federation

Abstract

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.

Citation Download Citation

Stella A. Lyasheva, Oleg G. Morozov, and Mikhail P. Shleymovich "Weight model based image compression method, part II: image compression", Proc. SPIE 11793, Optical Technologies for Telecommunications 2020, 1179313 (22 June 2021); https://doi.org/10.1117/12.2593042

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available