Restoration of color images subjected to interchannel blurring

Abstract

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 conventional non interaction (NI) approach and the proposed FOII approach. Proposed model is fairly general, and the results are satisfactory even when interchannel degradation parameter is unknown.

Glassy Effects for General Images

“…With the fast computing devices, embedded systems and image processors available in the 21st century, digital image processing field has achieved many missions [1,2]. Image processing yields an effect on the original image and perform to obtain desired image [3][4][5]. One of image processing effects is glassy effect (GE).…”