Title :
An improved super resolution reconstruction method based on initial value estimation
Author_Institution :
Coll. of Comput. & Inf. Eng., Yibin Univ., Yibin, China
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;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5646854