DocumentCode :
1933898
Title :
A method of gibbs artifact reduction for POCS super-resolution image reconstruction
Author :
Yu, Jing ; Xiao, Chuangbai ; Su, Kaina
Author_Institution :
Coll. of Comput. Sci. & Technol., Beijing Univ. of Technol.
Volume :
2
fYear :
2006
fDate :
16-20 2006
Abstract :
Super-resolution image reconstruction technique is to restore a high-resolution and high-quality image from multiple degraded low-resolution observations. The POCS method for super-resolution image reconstruction attracts many researchers´ attention. This paper proposes to reduce the amount of Gibbs artifacts present on the edges of the high-resolution image estimate obtained by the POCS method. The proposed method weights the blur PSF centered at an edge pixel with an exponential function, so that the modified PSF coefficients decrease in the direction orthogonal to the edge. Experimental results show that the modification effectively reduces the visibility of the artifacts on the edges and obviously improves the quality of the high-resolution reconstructed image
Keywords :
image reconstruction; image resolution; set theory; Gibbs artifact reduction; POCS; exponential function; high-resolution image; super-resolution image reconstruction; Degradation; Frequency domain analysis; High-resolution imaging; Image reconstruction; Image resolution; Image restoration; Image sampling; Image sensors; Layout; Spatial resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
Type :
conf
DOI :
10.1109/ICOSP.2006.345717
Filename :
4129009
Link To Document :
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