A Time Dependent Model for Image Denoising | Zendy

Santosh Kumar | Zendy; M. K. Ahmad | Zendy

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A Time Dependent Model for Image Denoising

Author(s) -

Santosh Kumar,

M. K. Ahmad

Publication year - 2015

Publication title -

journal of signal and information processing

Language(s) - English

Resource type - Journals

eISSN - 2159-4465

pISSN - 2159-4481

DOI - 10.4236/jsip.2015.61003

Subject(s) - lagrange multiplier , smoothness , image denoising , a priori and a posteriori , noise reduction , image (mathematics) , minification , projection (relational algebra) , noise (video) , algorithm , mathematical optimization , mathematics , computer science , artificial intelligence , mathematical analysis , philosophy , epistemology

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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