12th International Conference on Image Analysis and Processing (ICIAP'03) A Color Image Restoration with Adjacent Parallel Lines Inhibition Mantova, Italy September 17-September 19 ISBN: 0-7695-1948-2
In this paper we focus our attention on the problem of restoring a color image corrupted by blur and noise. This problem is ill-posed in the Hadamard sense. By regularization techniques is possible to de.ne the solution of the problem as the minimum of an energy function. To improve the quality of the reconstruction some boolean variables, associated to the discontinuities of the intensity color field, are introduced. Such variables, called line variables, have to be estimated and can be used in the energy function in a implicit way. Moreover, we impose that adjacent discontinuities have not to be parallel. To minimize the energy function a CATILED (Convex Approximation Technique for Interacting Line Elements Deblurring) algorithm is used. The experimental results confirm the good qualities of this technique.
Citation:
Ivan Gerace, Roberta Pandolfi, "A Color Image Restoration with Adjacent Parallel Lines Inhibition," iciap, pp.391, 12th International Conference on Image Analysis and Processing (ICIAP'03), 2003 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||