1-6 Image Restoration Method using Kalman Filter Theory with Colored driving Source

Abstract

We propose an image restoration algorithm using Kalman filter theory with colored driven source. This algorithm aims to achieve high quality image restoration method for blur and noise distance from the canonical space state models with (i) a state equation composed of original image, and (ii) an observation equation composed of the original image, blur, and noise. The remarkable feature of the proposed method is realization of an image restoration without sacrificing image quality despite simple image restoration using only Kalman filter.