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 :
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