Title :
SNR and DFD Based Blind Image Super-Resolution
Author :
Yan, Hua ; Liu, Ju ; Sun, Jiande ; Huang, Qingming
Author_Institution :
Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan
Abstract :
In this paper, a kind of blind image super-resolution algorithm is proposed, in which error-parameter-analysis (EPA) is combined with the searching method to identify parameterized blur function and a regularized super-resolution (SR) image restoration algorithm simultaneously considering signal-to-noise ratio (SNR) and displaced frame differential (DFD) is proposed to restore high-resolution (HR) image. The adoption of the searching method shrinks identification period. Simulation results show that the proposed blind SR algorithm can obtain approximate blur function and restore well-visual HR image
Keywords :
error analysis; image resolution; image restoration; blind image super-resolution algorithm; displaced frame differential; error-parameter-analysis; high-resolution image; image restoration algorithm; parameterized blur function; searching method; signal-to-noise ratio; Additive noise; Design for disassembly; Image resolution; Image restoration; Information science; Least squares approximation; Signal resolution; Signal restoration; Strontium; Sun;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.345598
