DocumentCode
3258093
Title
An improved super resolution reconstruction method based on initial value estimation
Author
Qin, Fengqing
Author_Institution
Coll. of Comput. & Inf. Eng., Yibin Univ., Yibin, China
Volume
2
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
826
Lastpage
829
Abstract
In order to improve the spatial resolution of the super resolution reconstructed image, an improved image super resolution reconstruction algorithm is proposed. In iterative back projection (IBP) algorithm, the initial value is estimated through wavelet locally adaptive interpolation method, other than in the traditional interpolation way. Image super resolution reconstruction is performed on multiple simulated low resolution images, experimental results show that the initial value plays an important part in super resolution reconstruction algorithm. The reconstructed image achieves better visual effect and higher peak signal to noise ratio (PSNR). The IBP algorithm has less estimation error and faster convergent speed than other method. This initial value estimation method can also be extensively used in other iterative super resolution algorithms.
Keywords
image reconstruction; image resolution; iterative methods; estimation error; initial value estimation; iterative back projection; peak signal to noise ratio; super resolution reconstruction method; Image reconstruction; Interpolation; Reconstruction algorithms; Signal resolution; Spatial resolution; Wavelet transforms; initialized value estimation; iterative back projection; super resolution reconstruction; wavelet locally adaptive interpolation;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6513-2
Type
conf
DOI
10.1109/CISP.2010.5646854
Filename
5646854
Link To Document