Abstract
A novel wavelet-based algorithm for image enhancement is proposed in the paper. On the basis of multiscale analysis, the proposed algorithm solves efficiently the problem of noise over-enhancement, which commonly occurs in the traditional methods for contrast enhancement. The decomposed coefficients at same scales are processed by a nonlinear method, and the coefficients at different scales are enhanced in different degree. During the procedure, the method takes full advantage of the properties of Human visual system so as to achieve better performance. The simulations demonstrate that these characters of the proposed approach enable it to fully enhance the content in images, to efficiently alleviate the enhancement of noise and to achieve much better enhancement effect than the traditional approaches.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Li T L, Sundarehan M K. Adaptive Image Contrast Enhancement Based on Human Visual Properties.IEEE Trans Medical Imaging, 1994,13(4):573–586.
Kim J Y, Kim L S. An Advanced Contrast Enhancement Using Partially Overlapped Sub-Block Histogram Equalization.IEEE Trans Circuits and Video Technology, 2001,11 (4):475–484.
Chang D C, Wu W R. Image Contrast Enhancement Based on a Histogram Transformation of Local Standard Deviation.IEEE Trans Medical Imaging, 1998,17(4):518–531.
Laine A F, Schuler S. Mammographic Feature Enhancement by Multiscale Analysis.IEEE Trans Medical Imaging, 1994,13(4):725–740.
Zhong X L, Laine A F. Speckle Reduction and Contrast Enhancement of Echocardiograms Via Multiscale Nonlinear Processing.IEEE Trans Medical Imaging, 1998,17(4):532–540.
Nowak R D, Baraniuk R G. Adaptive Weighted Highpass Filters Using Multiscale Analysis.IEEE Trans Image Processing, 1998,7(7):1068–1074.
Mallat S, Hwang W L. Singularity Detection and Processing with Wavelets.IEEE Trans Information Theory, 1992,38 (2):617–643.
Author information
Authors and Affiliations
Corresponding author
Additional information
Foundation item: Supported by the National Natural Science Foundation of China (69931010)
Biography: Wu Ying-qian (1974-), male, Ph. D, research direction: image processing, image compression and wavelet.
Rights and permissions
About this article
Cite this article
Ying-qian, W., Pei-jun, D. & Peng-fei, S. Research on wavelet-based algorithm for image contrast enhancement. Wuhan Univ. J. Nat. Sci. 9, 46–50 (2004). https://doi.org/10.1007/BF02912716
Received:
Issue Date:
DOI: https://doi.org/10.1007/BF02912716