Adaptive two-dimensional wavelet transformation based on the Haar system
Mikhail Prisheltsev
TL;DR
This paper investigates image compression efficiency using adaptive two-dimensional Haar wavelet transformations, analyzing different Haar wavelet banks and their impact on compression rates through experimental results.
Contribution
It introduces an adaptive approach to 2D Haar wavelet transformation based on multiresolution analysis for improved image compression.
Findings
Adaptive compression rates vary with different Haar wavelet banks.
Experimental results demonstrate the effectiveness of the proposed method.
Orthogonal Haar bases with specific support improve compression performance.
Abstract
The purpose is to study qualitative and quantitative rates of image compression by using different Haar wavelet banks. The experimental results of adaptive compression are provided. The paper deals with specific examples of orthogonal Haar bases generated by multiresolution analysis. Bases consist of three piecewise constant wavelet functions with a support .
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Taxonomy
TopicsAdvanced Data Compression Techniques · advanced mathematical theories · Advanced Scientific Research Methods