Title :
POCS-embedded MAP method for image super-resolution restoration
Author :
Wei, Baoguo ; Hui, Weihua
Author_Institution :
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´´an
Abstract :
Super-resolution image restoration produces a high-resolution image from a set of shifted, blurred, and decimated versions thereof. The quality of super-resolution depends on the accuracy and the amount of a priori information that could be utilized in the processing. In this paper, a POCS-embedded MAP based super-resolution image restoration algorithm is proposed, which incorporates POCS constraints and MAP algorithm. Experiments demonstrate that POCS-embedded MAP algorithm can achieve a better restoration result than traditional MAP and POCS approach.
Keywords :
image resolution; image restoration; maximum likelihood estimation; optimisation; POCS-embedded MAP method; image super-resolution restoration algorithm; projection onto convex set theory; statistical optimization; Additive white noise; Bayesian methods; High-resolution imaging; Humans; Image processing; Image resolution; Image restoration; Inverse problems; Layout; Optimization methods; Image processing; Image restoration; MAP; POCS; Superresolution;
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
DOI :
10.1109/ICIEA.2009.5138914