By Topic

Restoration of color images subjected to interchannel blurring

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
N. Kaulgud ; SPANN Lab., IIT Bombay, Mumbai, India ; U. B. Desai

This paper deals with the restoration of colored images, distorted by both intra- and inter-channel blur, and corrupted by additive white Gaussian noise. The image is modeled as a Markov Random Field (MRF), and color image restoration is cast as a maximum a posteriori (MAP) estimation problem. We propose a First Order Interchannel Interaction (FOII) model for image restoration. Simulated annealing algorithm is then used to minimize the posterior energy function. We compare the simulation results of the conventional non-interaction (NI) approach and the proposed FOII approach. The proposed model is fairly general, and the results are satisfactory even when interchannel degradation parameter is unknown

Published in:

Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on  (Volume:4 )

Date of Conference:

Jul 1999