Solving Mixed Quasi-variational Inequality for Modified Total Generalized Variation for Image Denoising

CHANG-ZHI YU, FANG JI, FANG LI, HUI ZHANG

Abstract


Image denoising has always been a hot issue in the field of image processing. In order to better reduce the image noise, a modified total generalized variation model is presented. The theory of mixed quasi-variational inequality is introduced to numerically solve the modified model. Compared with several variational models, experiments demonstrate that the proposed method has better performance in edge-preserving while filtering the noise

Keywords


Image denoising, Total generalized variation, Mixed quasi-variational inequalityText


DOI
10.12783/dtcse/cmso2019/33600

Full Text:

PDF

Refbacks

  • There are currently no refbacks.