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Performance analysis of image compression using wavelets

delete2001-06-01
delete130
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OA
AI
S
Sonja Grgić
M
Mislav Grgić
B
Branka Zovko-Cihlar
DOI：10.1109/41.925596delete
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Abstract

Abstract

En 中文
The aim of this paper is to examine a set of wavelet functions (wavelets) for implementation in a still image compression system and to highlight the benefit of this transform relating to today's methods. The paper discusses important features of wavelet transform in compression of still images, including the extent to which the quality of image is degraded by the process of wavelet compression and decompression. Image qualify is measured objectively using peak signal-to-noise ratio or picture quality scale, and subjectively, using perceived image quality, The effects of different wavelet functions, image contents and compression ratios are assessed. A comparison with a discrete-cosine-transform-based compression system is given. Our results provide a good reference for application developers to choose a good wavelet compression system for their application.
Keywords:
discrete cosine transforms
image coding
transform coding
wavelet transforms

Journal

IEEE Transactions on Industrial Electronics cover
IEEE Transactions on Industrial Electronics
IF:
7.2
Papers:
1.8W
Citations:
9.8W

Organization

No organization information available