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Image intensity inhomogeneity and low contrast aretwo substantial challengesfor image segmentation. In this work, we propose a new active contour method forsegmenting images with inhomogeneous intensity and low contrast. To deal with the intensity inhomogeneity, we use a local image fitting term. To deal with low contrast, we use a strictly convex and differential function as the data fidelity measure...
Block-matching and 3D filtering (BM3D) has showngreat power for image denoising. By decomposing the BM3Drestored image into three orthogonal subbands, we find thatthe subband of the high-frequency component, of which thewavelet coefficients are less than a given threshold, has madesome true textures of the original image lost and, the PSNR ofthe restored image is pulled down. Therefore, in this paper,...
Active Contour method has been shown very effective in detecting the contour of region(s)-of-interest(ROI) and is widely used in image processing and computer vision. In this work, we aim to improve the performance of Zhang's method in detecting boundary of ROIs. Specifically, we will generalize the CV energy functional and give a new special case. The new energy functional penalize the approximation...
In this letter, variational models in pixel domain and wavelet domain are presented for fusion and denoising of noisy multifocus images. In pixel domain, the problem is formulized as minimizing a weighted energy functional, where the total variation (TV) is used as regularity constraint for noise reduction. A new family of weight functions for fusion is proposed that are based on the local average...
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