A Time Dependent Model for Image Denoising

• 作者: Mohammad Kalimuddin Ahmad Santosh Kumar
• 来源期刊: 信号与信息处理(英文)
• 学科: 数学
• 关键词: TOTAL VARIATION IMAGE DENOISING SIGNAL DENOISING
• 年，卷（期）: 2015,（1）
• 页码范围: 28-38
• 页数: 11页
• 分类号: O1

摘要

In this paper, we propose a new time dependent model for solving total variation (TV) minimization problem in image denoising. The main idea is to apply a priori smoothness on the solution image. This is a constrained optimization type of numerical algorithm for removing noise from images. The constraints are imposed using Lagrange’s multipliers and the solution is obtained using the gradient projection method. 1D and 2D numerical experimental results by explicit numerical schemes are discussed.