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