RPROP Algorithm In TV Model Image Denoising

Image denoising has been a classic in image processing content, In the processof image transmission and access, due to various reasons, the image will carry noise,therefore, in the pretreatment of image denoising is a must. That will provideconvenient for subsequent image processing. For large quantities of images, we needto try to improve efficiency when we ensure the quality of the denoising. This isrelative to the conflict, so as far as possible to find a can not only quickly but alsoimprove the quality of image denoising method is necessary.In this paper, for the classic method of removing image noise and sometraditional iteration method has carried on the simple introduction. And to the TVmodel which based on additive noise, RPROP Algorithm is introduced to deal withthe variational form of optimization problem, and that will achieve the goal of imagedenoising. And through the comparison of experimental results, RPROP Algorithmrelative to other iterative image denoising method such as the Steepest Decentmethod and Bregman iterative method to deal with additive Gaussian noise, itsconvergence speed is faster. And RPROP Algorithm can be a very good guarantee thequality of the image. RPROP Algorithm is a simple optimization algorithm. In dealingwith some simple and a lot of noise image, RPROP Algorithm is very practical.