JOURNAL ARTICLE

<title>Efficient image compression with optimized biorthogonal wavelets</title>

Michael D. HoffmanShidong Li

Year: 2005 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 5915 Pages: 59150J-59150J   Publisher: SPIE

Abstract

A new parameterization approach for the construction of biorthogonal wavelets has revealed the possibility of deriving optimized biorthogonal filterbanks. Such a design methodology incorporates various optimization criteria and the regularity requirement into a single procedure while maintaining the usual perfect reconstruction principle. Because of the parameterization, the additional design procedure becomes fundamentally an unconstrained optimization problem. The method provides examples of new biorthogonal dual filters of slightly shorter length with comparable performance characteristics to that of traditional biorthogonal dual filters of longer length. Image coding using such new filterbanks becomes more efficient while maintaining similar quality. Preliminary studies in image coding will be reported in the presentation.

Keywords:
Biorthogonal system Computer science Image compression Wavelet Algorithm Coding (social sciences) Filter bank Data compression Image quality Coding gain Image (mathematics) Wavelet transform Image processing Artificial intelligence Mathematics Filter (signal processing) Computer vision Decoding methods

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Topics

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

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