Published June 1, 2003
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Journal Article
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Gray and color image contrast enhancement by the curvelet transform
Abstract
We present a new method for contrast enhancement based on the curvelet transform. The curvelet transform represents edges better than wavelets, and is therefore well-suited for multiscale edge enhancement. We compare this approach with enhancement based on the wavelet transform, and the multiscale retinex. In a range of examples, we use edge detection and segmentation, among other processing applications, to provide for quantitative comparative evaluation. Our findings are that curvelet based enhancement out-performs other enhancement methods on noisy images, but on noiseless or near noiseless images curvelet based enhancement is not remarkably better than wavelet based enhancement.
Additional Information
© Copyright 2003 IEEE. Reprinted with permission. Manuscript received April 26, 2002; revised February 6, 2003. Posted online: 2003-07-09. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Eric L. Miller. The authors would like to thank the referees for some very helpful comments on the original version of the manuscript.Files
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- Eprint ID
- 1380
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- CaltechAUTHORS:STAieetip03
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2006-01-13Created from EPrint's datestamp field
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2021-11-08Created from EPrint's last_modified field