DocumentCode :
2136413
Title :
Spatially adaptive superresolution using the optimal recovery framework
Author :
Shaik, Abdul Jabeer ; Cabrera, Sergio D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at El Paso, El Paso, TX, USA
fYear :
2012
fDate :
22-24 April 2012
Firstpage :
57
Lastpage :
60
Abstract :
Multi-Frame image restoration is a form of Super-Resolution (SR) which consists of combining multiple Low-Resolution (LR) images in order to reconstruct a single High-Resolution (HR) image. Our previous approach to SR based on the framework of optimal recovery is extended to a spatially adaptive scheme whereby the block-by-block processing is modified based on the properties of the corresponding local LR image data. The bandwidth parameter is adapted based on the local variance of each corresponding block from all LR images that contribute to the HR image block to be reconstructed. Also, an optimal regularization parameter for the reconstruction of each HR output block is calculated using the Generalized Cross Validation (GCV) approach. This parameter is dependent on the chosen bandwidth as well as the contributing local LR pixels values. Simulation results show the superiority of the adaptive scheme over the fixed optimal recovery based super-resolution with and without the use of overlapping blocks. A brief comparison with other SR schemes is also included to illustrate the possible performance.
Keywords :
image enhancement; image resolution; image restoration; HR image block; bandwidth parameter; block-by-block processing; fixed optimal recovery based super-resolution; generalized cross validation approach; high-resolution image reconstruction; local LR image data; local LR pixels values; low-resolution images; multiframe image restoration; optimal recovery framework; optimal regularization parameter; overlapping blocks; spatially adaptive superresolution; Bandwidth; Image reconstruction; Interpolation; Spatial resolution; Strontium; Vectors; Multi-Frame Image Restoration; Optimal Recovery; Spatially Adaptive Super-Resolution; Super-Resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Interpretation (SSIAI), 2012 IEEE Southwest Symposium on
Conference_Location :
Santa Fe, NM
Print_ISBN :
978-1-4673-1831-0
Electronic_ISBN :
978-1-4673-1829-7
Type :
conf
DOI :
10.1109/SSIAI.2012.6202452
Filename :
6202452
Link To Document :
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