Title :
A Method of Super-resolution Image Restoration Based on Separation
Author :
Jian, Zhang ; Xiaoping, Fan ; Cailun, Huang
Author_Institution :
Hunan Univ. of Sci. & Technol., Xiangtan
Abstract :
According to the optical image, the layered model for image degradation is established on the basis of imaging mechanism. Some key factors (diffraction effect and down-sample etc.) resulting in the low resolution are pointed out. A method of super-resolution image restoration based on separation is proposed and the algorithm of ally-template is introduced. This separation method reduces the complexity of calculation. The experiment proves the effectiveness of the proposed algorithm.
Keywords :
image resolution; image restoration; ally-template algorithm; image degradation; superresolution image restoration; Application software; Degradation; Equations; Frequency estimation; High-resolution imaging; Image quality; Image resolution; Image restoration; Laboratories; Optical imaging; Ally-template; Down-sample; Image processing; POCS; Separate method; Super-resolution;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4347342
