JOURNAL ARTICLE

Adaptive integer wavelet filter design for image compression

Abstract

This paper presents a new algorithm for designing revertible wavelet transforms by using lifting framework. The design objective is to achieve good performance of compression. We use the least MSE as optimization criterion to create adaptive biorthogonal wavelet filters which have linear phase property. The experimental results demonstrate that the efficiency of the proposed method for lossless image compression is quite competitive with other. IWT-based filters.

Keywords:
Lossless compression Image compression Lifting scheme Wavelet Biorthogonal system Computer science Biorthogonal wavelet Wavelet transform Compression (physics) Linear phase Adaptive filter Wavelet packet decomposition Algorithm Filter (signal processing) Data compression Second-generation wavelet transform Image (mathematics) Artificial intelligence Computer vision Image processing

Metrics

2
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.11
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Digital Filter Design and Implementation
Physical Sciences →  Computer Science →  Signal Processing

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