Image Analysis and Processing, International Conference on (2003)
Sept. 17, 2003 to Sept. 19, 2003
Roberta Pandolfi , Universit? degli Studi di Perugia
Ivan Gerace , Universit? degli Studi di Perugia
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.
Roberta Pandolfi, Ivan Gerace, "A Color Image Restoration with Adjacent Parallel Lines Inhibition", Image Analysis and Processing, International Conference on, vol. 00, no. , pp. 391, 2003, doi:10.1109/ICIAP.2003.1234081