Wavelet Algorithms for Deblurring Models

摘要

Blur removal is an important problem in signal and image processing. In this article, we formulate the deblurring problem within a wavelet framework and design a methodology to find deblurring filters. Using these deblurring filters, we derive an iterative de-blurring algorithm and prove its convergence. Simulation results are reported to illustrate the proposed framework and methodology.