SAR Image Compression Using an Adaptive Algorithm in the Wavelet Domain

In this paper, a novel SAR image compression scheme based on adaptive vector quantization and speckle noise suppression in the wavelet domain is presented. The proposed method consists of an edge-preserving speckle noise suppression algorithm followed by an enhanced adaptive vector quantization usin...

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Bibliographic Details
Published in:2006 IEEE International Conference on Electro/Information Technology pp. 340 - 343
Main Authors: Yixin Chen, Salari, E., Jianming Wei
Format: Conference Proceeding
Language:English
Published: IEEE 01.05.2006
Subjects:
Adaptive algorithm
Adaptive optics
Image coding
Optical distortion
Optical noise
Optical sensors
Speckle
Synthetic aperture radar
Vector quantization
Wavelet domain
ISBN:0780395921, 9780780395923
ISSN:2154-0357
Online Access:Get full text
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Summary:In this paper, a novel SAR image compression scheme based on adaptive vector quantization and speckle noise suppression in the wavelet domain is presented. The proposed method consists of an edge-preserving speckle noise suppression algorithm followed by an enhanced adaptive vector quantization using Gold-Washing (GW-AVQ) dynamic codebook-refining mechanism to encode the image data. Weighted vector composition and zero vector indexes are applied to further reduce the bitrate. The simulation results show that the proposed algorithm has excellent compression efficiency, and the balance among noise reduction level, distortion level, and compression ratio can be finely adjusted to meet the requirements of various applications
ISBN:0780395921
9780780395923
ISSN:2154-0357
DOI:10.1109/EIT.2006.252184