Theoretical analysis of some regularized image denoising methods

Regularization techniques have been in use in signal recovery for over four decades. In this paper, we propose a new, synthetic approach to the study of regularization methods in image denoising problems based on Moreau's proximity operators. We exploit the remarkable properties enjoyed by these operators to establish in a systematic fashion a variety of properties of regularized denoising problems and to propose new numerical schemes to solve them.

• Type: Conference
• Year: 2004
• Where: ICIP
• Authors: Patrick L. Combettes, Valerie R. Wajs
• Keywords: ICIP 2004, Image Denoising Problems, Image Processing, Regularization Methods, Regularization Techniques, Regularized Denoising Problems