Recent research results are presented regarding the formulation of the restoration problem as a convex programming problem, the implementation of restoration algorithms using artificial neural networks, the derivation of non-stationary ...
... restoration. SIAM Journal on Multiscale Modeling and Simulation, 70 (2), 774–795. Huang, Y., Ng, M. K., & Wen, Y. (2009). A new total variation method for multiplicative noise ... two- step approach. SEG Expanded Abstracts, 2773–2778 ...
... images can be either two or three dimensional representations of the object. The reflected wave from the target ... noise called speckle. However, speckle inherently exists in SAR images and is generally modeled as a multiplicative ...
A one-dimensional (1-D) approach to the problem of adaptive image restoration is presented.
... image processing model. Numerical analysis done by the authors showed that this method holds three important qualities: 1. 2. 3. It is superior in recovering sharp edges 87 A Brief Review on Recent Trends in Image Restoration.
... approach to removing multiplicative noise. SIAM J. Appl. Math. 68(4), 925–946 (2008) Beck, A., Teboulle, M.: A fast ... Two-phase approach for deblurring images corrupted by impulse plus Gaussian noise. Inverse Probl. Imaging 2(2) ...
This reference text, now in its second edition, offers a modern unifying presentation of three basic areas of nonlinear analysis: convex analysis, monotone operator theory, and the fixed point theory of nonexpansive operators.
... image enhancement , which specifically means attempting to smooth image noise while not disturbing the original image structure.2 3 Linear Image Enhancement The term enhancement implies a process whereby the visual quality of the image ...
Abstract: "This paper presents a technique for deblurring noisy images.