Direction-Adaptive Discrete Wavelet Transform for Image Compression

We propose a direction-adaptive DWT (DA-DWT) that locally adapts the filtering directions to image content based on directional lifting. With the adaptive transform, energy compaction is improved for sharp image features. A mathematical analysis based on an anisotropic statistical image model is pre...

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Vydané v:IEEE transactions on image processing Ročník 16; číslo 5; s. 1289 - 1302
Hlavní autori: Chuo-Ling Chang, Girod, B.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York, NY IEEE 01.05.2007
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Adaptive filters
Algorithms
anisotropic image model
Anisotropic magnetoresistance
Applied sciences
Coding, codes
Compaction
Computer Simulation
Data Compression - methods
Data Interpretation, Statistical
Detection, estimation, filtering, equalization, prediction
directional lifting
Discrete transforms
Discrete wavelet transforms
Exact sciences and technology
Filtering
Filtration
Gain
Hoisting
Image coding
Image compression
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Image processing
Information, signal and communications theory
Mathematical analysis
Mathematical model
Miscellaneous
Models, Statistical
Noise levels
Numerical Analysis, Computer-Assisted
PSNR
Reproducibility of Results
Sensitivity and Specificity
Signal and communications theory
Signal processing
Signal Processing, Computer-Assisted
Signal, noise
Telecommunications and information theory
Testing
wavelet transforms
Filtering
Image processing
wavelet transforms
Data compression
Adaptive filters
Image compression
Adaptive filter
Discrete wavelet transforms
Adaptive method
directional lifting
anisotropic image model
Image coding
Wavelet transformation
Mathematical analysis
Statistical model
Signal processing
Content analysis
Signal to noise ratio
ISSN:1057-7149, 1941-0042
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Popis
Shrnutí:We propose a direction-adaptive DWT (DA-DWT) that locally adapts the filtering directions to image content based on directional lifting. With the adaptive transform, energy compaction is improved for sharp image features. A mathematical analysis based on an anisotropic statistical image model is presented to quantify the theoretical gain achieved by adapting the filtering directions. The analysis indicates that the proposed DA-DWT is more effective than other lifting-based approaches. Experimental results report a gain of up to 2.5 dB in PSNR over the conventional DWT for typical test images. Subjectively, the reconstruction from the DA-DWT better represents the structure in the image and is visually more pleasing
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ISSN:1057-7149
1941-0042
DOI:10.1109/TIP.2007.894242