Paper
3 November 2005 Contrast enhancement for image based on discrete stationary wavelet transform
Changjiang Zhang, Xiaodong Wang, Jinshan Wang, Haoran Zhang
Author Affiliations +
Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 60430Y (2005) https://doi.org/10.1117/12.654874
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China
Abstract
A new algorithm to enhance contrast for image is proposed, which based on discrete stationary wavelet transform (DSWT) and non-linear gain operator. Comparing with usual discrete orthogonal wavelet transform, DSWT is redundant and shift-invariant. It can give a more approximate estimation to continuous wavelet transform. It can eliminate the "Gibbs" phenomena when image is reconstructed. This will improve greatly quality of reconstructed image. Combining DSWT with generalized cross validation principle, a new de-noising algorithm to image is proposed. The new de-noising algorithm can restrain efficiently white noise and colored noise in the image without prior-knowing variance of noise in the image. An asymptotical optical threshold can be obtained by only data of original image. Having made DSWT to an image, de-noising is done with proposed algorithm in the high frequency sub-bands in the better resolution levels. Contrast is enhanced by combining de-noising algorithm with non-linear gain operator in the high frequency sub-bands in the worse resolution levels. A new criterion to evaluate quality of enhanced image is given. Experimental results show that the new algorithm can suppress white noise and colored noise in the image effectively while it also enhances the contrast of image well. The proposed new algorithm is more excellent in performance than histogram equalization, un-sharpened mask algorithm, WYQ algorithm and GWP algorithm.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Changjiang Zhang, Xiaodong Wang, Jinshan Wang, and Haoran Zhang "Contrast enhancement for image based on discrete stationary wavelet transform", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60430Y (3 November 2005); https://doi.org/10.1117/12.654874
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KEYWORDS
Image enhancement

Image quality

Detection and tracking algorithms

Image contrast enhancement

Infrared imaging

Infrared radiation

Stationary wavelet transform

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