A multiresolution approach to color image restoration and parameter estimation using homotopy continuation method

In this paper, we address the problem of color image restoration. Here, we model the image as a Markov Random Field (MRF) and propose a restoration algorithm in a multiresolution framework. The incorporation of multiresolution technique significantly reduces the computational complexity of the restoration algorithm. The energy function at each resolution being non-convex, is minimized using the simulated annealing algorithm. The parameters which describe the MRF model at each resolution are computed a priori using the Homotopy Continuation Method. Simulation results are presented to validate the proposed scheme.

• Type: Conference
• Year: 1995
• Where: ICIP
• Authors: P. K. Nanda, K. Sunil Kumar, S. Ghokale, Uday B. Desai
• Keywords: Color Image Restoration, ICIP 1995, Image Processing, Restoration Algorithm, Simulated Annealing Algorithm