Title :
A weight matrix based blind Super Resolution restoration algorithm
Author :
Wang, Suyu ; Zhuo, Li ; Shen, Lansun
Author_Institution :
Signal & Inf. Process. Lab., Beijing Univ. of Technol., Beijing
Abstract :
Approximate description of the observation model has severely prevented performance improvement of the existing super resolution (SR) algorithms. To solve this problem, a new weight-matrix based blind super resolution algorithm is proposed in this paper. A new observation model based on a motion compensate matrix and a weight-matrix is defined first. Then it is introduced into the traditional framework of maximum a posterior (MAP), where the problem of super resolution is converted to joint estimation of the weight matrix and the high resolution (HR) image. Evaluated by both still and active image sequences, the proposed algorithm can model the degrading process of the acquired low resolution images accurately. It shows obvious performance improvement compared with the traditional MAP based super resolution algorithm. For several cases, it has even exceeded the results when the observation model is known.
Keywords :
image resolution; image restoration; image sequences; matrix algebra; maximum likelihood estimation; motion compensation; motion estimation; blind super resolution restoration algorithm; high resolution image; image sequence; maximum a posterior framework; motion compensate matrix; weight matrix joint estimation; Degradation; High-resolution imaging; Image reconstruction; Image resolution; Image restoration; Image sequences; Matrix converters; Minimization methods; Signal processing algorithms; Signal resolution;
Conference_Titel :
Multimedia Signal Processing, 2008 IEEE 10th Workshop on
Conference_Location :
Cairns, Qld
Print_ISBN :
978-1-4244-2294-4
Electronic_ISBN :
978-1-4244-2295-1
DOI :
10.1109/MMSP.2008.4665199