Title :
Resolution enhancement by polyphase back-projection filtering
Author :
Cohen, B. ; Dinstein, I.
Author_Institution :
Dept. of Electr. Eng. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
Abstract :
The method for reconstruction and restoration of super resolution images from low resolution sequences presented is an extension of Irani and Peleg´s (1991) algorithm . The input is a set of low resolution images that have been registered to a pixel translation accuracy. A high resolution image is initialized and iteratively improved by back-projecting the errors between the low resolution images and the respective images obtained by simulating the imaging system. The sub-pixel translations between the low resolution images are quantized. The imaging system´s PSF and back-projection function are estimated with a resolution higher than that of the super resolution image and decimated so that two banks of polyphase filters are obtained. The use of the polyphase filters allows exploitation of all the input images without any smoothing or interpolation operations
Keywords :
band-pass filters; filtering theory; image enhancement; image reconstruction; image registration; image resolution; image sequences; PSF; back-projection function; high resolution image; image reconstruction; image registration; image restoration; imaging system; input images; low resolution sequences; pixel translation accuracy; polyphase back-projection filtering; polyphase filter bank; quantization; resolution enhancement; sub-pixel translations; super resolution images; Filter bank; Filtering; High-resolution imaging; Image reconstruction; Image resolution; Image restoration; Interpolation; Iterative algorithms; Pixel; Smoothing methods;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.678137
