DocumentCode :
2448726
Title :
Super-resolution reconstruction of sequence image implemented on OMAP3530 platform
Author :
Li, Juan ; Su, Binghua ; Xu, Guiying ; Lin, Rimao
Author_Institution :
Key Lab. of Photo Electron. Imaging Technol. & Syst., Beijing Inst. of Technol., Beijing, China
fYear :
2012
fDate :
16-18 July 2012
Firstpage :
144
Lastpage :
148
Abstract :
In remote sensing, surveillance, reconnaissance, medical diagnosis (CT, MRI) and other applications, high resolution (HR) images are required. However, due to the high cost and physical limitations of the acquisition hardware, the low resolution (LR) images are used frequently. Therefore, super resolution (SR) restoration is an emerged solution permitting to form one or a set of HR images from a sequence of LR images. In this paper, a novel sequence image SR restoration algorithm based on wavelet decomposition and frame difference was proposed and has been implemented on OMAP3530 platform, demonstrating the effectiveness of image reconstruction. Quantitative and qualitative experiments for the introduced method showed great superiority in obtaining high resolution images with high PSNR and much better visual quality.
Keywords :
image resolution; image restoration; image sequences; microcomputers; remote sensing; wavelet transforms; HR images; LR images; OMAP3530 platform; acquisition hardware; high PSNR; high resolution images; image reconstruction; low resolution images; remote sensing; sequence image SR restoration algorithm; super-resolution reconstruction; visual quality; wavelet decomposition; Codecs; Digital signal processing; Discrete wavelet transforms; Hardware; Image resolution; Interpolation; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Audio, Language and Image Processing (ICALIP), 2012 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-0173-2
Type :
conf
DOI :
10.1109/ICALIP.2012.6376601
Filename :
6376601
Link To Document :
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