Image Super Resolution Technique Based on Wavelet Decomposition Implemented on OMAP3530 Platform

Author

Lin, Rimao ; Su, Binghua ; Wu, Xiaobing ; Xu, Fangxin

Author_Institution

Key Lab. of Photoelectronic Imaging Technol. & Syst., Beijing Inst. of Technol., Beijing, China

fYear

2011

fDate

4-6 Nov. 2011

Firstpage

69

Lastpage

72

Abstract

In the real world, there are a variety of applications requiring high resolution (HR) images in remote sensing, medicine, military information acquisition, multimedia, etc. Because of the high cost and physical limitations of the acquisition hardware, the low resolution (LR) images are used frequently. So, 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 SR restoration algorithm based on wavelet decomposition was proposed and finally has been implemented on OMAP3530 platform, demonstrating the effectiveness of the reconstruction of SR images. 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; wavelet transforms; HR images; LR image sequence; OMAP3530 platform; PSNR; SR image reconstruction; SR restoration algorithm; high resolution images; image acquisition hardware; image super resolution technique; low resolution images; super resolution restoration; visual quality; wavelet decomposition; Digital signal processing; Discrete wavelet transforms; Image resolution; Interpolation; Linux; Program processors; Image Super Resolution; OMAP3530; Wavelet Transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Information Networking and Security (MINES), 2011 Third International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4577-1795-6

Type

conf

DOI

10.1109/MINES.2011.107

Filename

6103724