DocumentCode
1679079
Title
Iterative back projection based image resolution enhancement
Author
Rasti, Pejman ; Demirel, Hasan ; Anbarjafari, Gholamreza
Author_Institution
Dept. of Electr. & Electron. Eng., Eastern Mediterranean Univ., North Cyprus, Turkey
fYear
2013
Firstpage
237
Lastpage
240
Abstract
In this paper, we propose a new super resolution technique based on the interpolation followed by registering them using iterative back projection (IBP). Firstly the low resolution image is interpolated and then decimate it to four lower low resolution images. The four low resolution images are interpolated and registered by using IBP in order to generate a sharper high resolution image. The proposed method has been tested on Lena, Elaine, Pepper, and Baboon. The quantitative peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) results as well as the visual results show the superiority of the proposed technique over the conventional and alternative image super resolution techniques. For Lena´s image, the PSNR is 6.21 dB higher than the bicubic interpolation.
Keywords
image enhancement; image registration; image resolution; interpolation; iterative methods; Baboon´s image; Elaine´s image; IBP; Lena´s image; PSNR; Pepper´s image; SSIM; bicubic interpolation; high resolution image; image registration; iterative back projection based image resolution enhancement; low resolution image; peak signal-to-noise ratio; structural similarity index; super resolution technique; Biomedical imaging; Image registration; Image resolution; Interpolation; PSNR; Signal resolution; Image Registration; Iterative Back Projection; Super resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on
Conference_Location
Zanjan
ISSN
2166-6776
Print_ISBN
978-1-4673-6182-8
Type
conf
DOI
10.1109/IranianMVIP.2013.6779986
Filename
6779986
Link To Document