NDLI: Sharpening Dermatological Color Images in the Wavelet Domain

Content Provider	IEEE Xplore Digital Library
Author	Jung, C.R. Scharcanski, J.
Copyright Year	2007
Abstract	Tele-dermatology is becoming an important tool for early skin cancer detection in public health, but low-cost cameras tend to cause image blurring, which affect diagnosis quality. Obtaining cost-effective images with diagnosis quality is a current challenge, and this paper proposes a novel method for enhancing the local contrast of dermatological images in the wavelet domain. The distribution of squared gradient magnitudes computed through an undecimated wavelet transform is modeled as a combination of chi-squared and gamma distributions, and a posteriori probabilities are used to discriminate coefficients related to edges from those related to noise or homogeneous regions at each scale of the wavelet decomposition. Consistency across scales is used to preserve coefficients likely to be edge related in consecutive levels of the wavelet decomposition, and local directional smoothing is used to reduce residual noise. Then, a nonlinear enhancement function is applied to wavelet coefficients, so that low-contrast edge-related wavelet coefficients are increased. Our experimental results indicate that the proposed approach can effectively sharpen image details, without amplifying background noise. Preliminary validation by specialists indicate that the proposed sharpening algorithm improves the visual quality of dermatological images.
Sponsorship	IEEE Signal Processing Society
Starting Page	4
Ending Page	13
Page Count	10
File Size	1858730
File Format	PDF
ISSN	19324553
Volume Number	3
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-02-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Color Wavelet domain Wavelet coefficients Skin cancer Cancer detection Public healthcare Cameras Distributed computing Wavelet transforms Smoothing methods wavelets Adaptive image denoising adaptive image enhancement color image processing medical imaging multiresolution analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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