Work

Method for Processing and Assessing the Degree of Digital Image Compression Based on Haar Transformation

Year: 2022

Type: article

Abstract: The article presents the specifics of the developed method for processing and assessing the degree of digital image compression based on Haar transformation.In order to ensure a sufficient level of quality for the presentation of digital images of different formats and classes in the process of their multi-threaded processing in real time, it is proposed to implement a number of orthogonal transformations.The mathematical representation of the created method reflects the stages of restoration of individual image indicators in the process of its reception and transmission.The proposed method is based on the principles of complex adaptive compression using an estimate of the specific global and local sensitivity of the Haar transform functions.The developed method can be used for adaptive compression of digital images of different saturation with support for dynamic scaling of their sizes based on the estimation of the energy index in the analysis of the image transform, providing detailing of the degree of its saturation.

DOI: 10.32782/cmis/3137-22

Authors: Vladimir Vychuzhanin, Nickolay Rudnichenko, Yurii Bercov, Andrii Levchenko

Institutions: Odesа Polytechnic National University, Odesa I. I. Mechnikov National University

Language: English

Topic: Advanced Data Compression Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4293203471

FWCI:

Cites: 23

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Related to: 10