Starck, Jean-Luc and Murtagh, Fionn and Candès, Emmanuel J. and Donoho, David L. (2003) Gray and color image contrast enhancement by the curvelet transform. IEEE Transactions on Image Processing, 12 (6). pp. 706-717. ISSN 1057-7149. doi:10.1109/TIP.2003.813140. https://resolver.caltech.edu/CaltechAUTHORS:STAieetip03
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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.
| Item Type: | Article | ||||||
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| 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. | ||||||
| Subject Keywords: | Contrast enhancement, curvelets, ridgelets, wavelets | ||||||
| Issue or Number: | 6 | ||||||
| DOI: | 10.1109/TIP.2003.813140 | ||||||
| Record Number: | CaltechAUTHORS:STAieetip03 | ||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:STAieetip03 | ||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||
| ID Code: | 1380 | ||||||
| Collection: | CaltechAUTHORS | ||||||
| Deposited By: | Archive Administrator | ||||||
| Deposited On: | 13 Jan 2006 | ||||||
| Last Modified: | 08 Nov 2021 19:09 |
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