DocumentCode :
3113861
Title :
Spatial super resolution based image reconstruction using HIBP
Author :
Nayak, Richi ; Monalisa, S. ; Patra, Dipti
Author_Institution :
Electr. Eng. Dept., NIT Rourkela, Rourkela, India
fYear :
2013
fDate :
13-15 Dec. 2013
Firstpage :
1
Lastpage :
6
Abstract :
Spatial image resolution explains about the pixel density in a digital image. As a result more the number of pixels more detailed visibility of information contained in the image. Hardware limitations restrict the increase in number of sensor elements per unit area in camera. Therefore an imaging system with inadequate sensor array will generate low resolution image which causes pixelization effect in them. This problem is solved in software level using signal processing techniques called super resolution based image reconstruction. In this paper super resolution based image reconstruction problem is addressed, which is used for resolution enhancement. Unlike interpolation, it takes information from multiple number of low resolution images with sub-pixel shifts and contain nonredundant data to generate a high resolution image. In this proposed reconstruction method, a hybrid iterative back projection technique is developed exploiting the notion of cuckoo search optimization algorithm in iterative back projection method. The high resolution solution from iterative back projection method is optimized using Cuckoo optimization algorithm. The performance of the proposed algorithm is found to be outperforming that of existing IBP and other interpolation based reconstruction techniques.
Keywords :
image enhancement; image reconstruction; image resolution; optimisation; search problems; Cuckoo search optimization algorithm; HIBP; camera; digital image reconstruction; hardware limitations; high resolution image; hybrid iterative back projection; imaging system; interpolation based reconstruction techniques; iterative back projection method; low resolution image; nonredundant data; pixel density; pixelization effect; resolution enhancement; sensor array; sensor elements; signal processing; software level; spatial image resolution; spatial super resolution; subpixel shifts; super resolution based image reconstruction; Image reconstruction; Iterative methods; Optimization; PSNR; Signal resolution; Spatial resolution; Cuckoo optimization algorithm; Iterative Back Projection; Levy flights; Super resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
India Conference (INDICON), 2013 Annual IEEE
Conference_Location :
Mumbai
Print_ISBN :
978-1-4799-2274-1
Type :
conf
DOI :
10.1109/INDCON.2013.6726146
Filename :
6726146
Link To Document :
بازگشت