A Time Dependent Model for Image Denoising - Journal of Signal and Information Processing

JSIP > Vol.6 No.1, February 2015

Journal of Signal and Information Processing

Volume 6, Issue 1 (February 2015)

ISSN Print: 2159-4465 ISSN Online: 2159-4481

Google-based Impact Factor: 1.19 Citations

A Time Dependent Model for Image Denoising ()

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DOI: 10.4236/jsip.2015.61003 3,019 Downloads 4,005 Views Citations

Author(s)

Santosh Kumar, Mohammad Kalimuddin Ahmad

Affiliation(s)

Department of Mathematics Aligarh Muslim University, Aligarh, India.

ABSTRACT

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.

KEYWORDS

Total Variation, Image Denoising, Signal Denoising

Share and Cite:

Kumar, S. and Ahmad, M. (2015) A Time Dependent Model for Image Denoising. Journal of Signal and Information Processing, 6, 28-38. doi: 10.4236/jsip.2015.61003.

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