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To remove signal-dependent noise of a digital color camera, we propose a new denoising method with our hard color-shrinkage in the tight-frame grouplet transform domain. The classic hard-shrinkage works well for monochrome-image denoising. To utilize inter-channel color dependence, a noisy image undergoes the color transformation from the RGB to the luminance-and-chrominance color space, and the luminance...
A monochrome-image iterative deblurring method with the classical soft-shrinkage scheme in the shift-invariant Haar wavelet transform domain was recently proposed by R. H. Chan et al (2003). Extending the method, we present a new iterative sharpening-demosaicing method with the shift-invariant Haar wavelet transform and our previously proposed soft color-shrinkage utilizing inter-channel color cross-correlations...
To remove signal-dependent noise of a digital color camera, we present a new soft color-shrinkage scheme for color-image denoising in a wavelet transform domain. The classic soft-shrinkage scheme works well for monochrome-image denoising; to utilize inter-channel color cross-correlations, a noisy image undergoes the color-transformation from the RGB to the luminance-and-chrominance color space, and...
This paper extends the BV-L1 variational nonlinear image-decomposition approach, useful for image processing, to a genuine color-image decomposition approach. For utilizing inter-channel color cross-correlations, we introduce TV norms of color differences and TV norms of color sums into the BV-L1 energy functionals to be minimized, and then derive denoising-type decomposition-algorithm with an over-complete...
By replacing the total-variation (TV) norm in the TV variational denoising model by the Besov norm defined with the orthonormal wavelet coefficients of an image, the TV variational model is converted into the LI variational model in the wavelet domain, and its solution is the classical wavelet shrinkage. The wavelet shrinkage denoising scheme works well for monochrome images; but its direct application...
In order to estimate highly reliable motion for image sequences, a novel segment-based motion estimation is described. Segmentation is performed based on zero-crossings of the wavelet transform. Moving objects are extracted from the area of motion using the segmentation result. Multiresolution image decomposition is performed with the biorthogonal wavelet transform, and motion is then hierarchically...
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