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  • Gray and color image contra...
    Starck, J.-L.; Murtagh, F.; Candes, E.J.; Donoho, D.L.

    IEEE transactions on image processing, 06/2003, Letnik: 12, Številka: 6
    Journal Article

    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.