Image restoration of nonuniformly illuminated images with camera microscanning
José Luis López Martínez, Vitaly Kober · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
Various techniques for image recovery from degraded observed images were proposed. Most of the methods deal with linear degradations and carry out signal processing using a single observed image. In this paper multiplicative, additive, and impulsive image degradations are investigated. We propose restoration algorithms based on three observed degraded images obtained from a microscanning camera. It is assumed that degraded images contain information about an original image, illumination function, and noise. Using three degraded images and mathematical model of degradation a set of equations is formed. By solving the system of equations with the help of an iterative algorithm the original image is recovered.