Gray and color image contrast enhancement by the curvelet transform

  • Authors:
  • J. -L. Starck;F. Murtagh;E. J. Candes;D. L. Donoho

  • Affiliations:
  • Commissariat a l'Energie Atomique-Saclay, Gif sur Yvette, France;-;-;-

  • Venue:
  • IEEE Transactions on Image Processing
  • Year:
  • 2003

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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.