Gray and color image contrast enhancement by the curvelet transform

Jean L. Starck, Fionn Murtagh, Emmanuel J. Candès, David L. Donoho

Research output: Contribution to journalArticle

450 Citations (Scopus)

Abstract

We present in this paper 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.

LanguageEnglish
Pages706-717
Number of pages12
JournalIEEE Transactions on Image Processing
Volume12
Issue number6
DOIs
Publication statusPublished - 1 Jun 2003
Externally publishedYes

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Curvelet Transform
Contrast Enhancement
Image Enhancement
Edge detection
Color Image
Wavelet transforms
Enhancement
Color
Curvelet
Processing
Wavelets
Edge Enhancement
Edge Detection
Wavelet Transform
Segmentation
Evaluation
Range of data

Cite this

Starck, Jean L. ; Murtagh, Fionn ; Candès, Emmanuel J. ; Donoho, David L. / Gray and color image contrast enhancement by the curvelet transform. In: IEEE Transactions on Image Processing. 2003 ; Vol. 12, No. 6. pp. 706-717.
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Gray and color image contrast enhancement by the curvelet transform. / Starck, Jean L.; Murtagh, Fionn; Candès, Emmanuel J.; Donoho, David L.

In: IEEE Transactions on Image Processing, Vol. 12, No. 6, 01.06.2003, p. 706-717.

Research output: Contribution to journalArticle

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