图像去噪的时间依赖模型

Q3 Computer Science

Journal of Information Hiding and Multimedia Signal Processing Pub Date : 2015-01-21 DOI:10.4236/JSIP.2015.61003

Santosh Kumar, M. Ahmad

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引用次数: 3

摘要

本文提出了一种新的时间依赖模型来解决图像去噪中的总变差最小化问题。主要思想是在解图像上应用先验平滑。这是一种约束优化类型的数值算法，用于从图像中去除噪声。利用拉格朗日乘子法施加约束，用梯度投影法求解。讨论了采用显式数值格式的一维和二维数值实验结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Time Dependent Model for Image Denoising

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.

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来源期刊

Journal of Information Hiding and Multimedia Signal Processing Computer Science-Software

CiteScore

3.20

自引率

0.00%

发文量