TY - GEN
T1 - Polyphase back-projection filtering for resolution enhancement of image sequences
AU - Cohen, B.
AU - Avrin, V.
AU - Dinstein, I.
N1 - Publisher Copyright:
© 2000 IEEE.
PY - 2000/1/1
Y1 - 2000/1/1
N2 - A method for resolution enhancement of image sequences by polyphase back-projection filtering is presented. The first super-resolution image is initialized by interpolation of the first low-resolution image. The imaging system is simulated for every super-resolution image at a time, and the error between the simulated image and the corresponding low-resolution image is calculated. The resolution enhancement is achieved by back-projecting this error to the corresponding super-resolution image. The imaging system's PSF and the back-projection filter are estimated with a resolution higher than that of the super-resolution images, and the filtering is done by polyphase versions of these filters. The polyphase filters have embedded sub-pixel displacements corresponding to the translation parameters between the super-resolution image and the low-resolution one. The use of the polyphase filters allows exploitation of the observed data without any smoothing and/or interpolation operations. Also, no modeling of the PSF by an analytical function is necessary. Presented experimental results show encouraging resolution enhancements.
AB - A method for resolution enhancement of image sequences by polyphase back-projection filtering is presented. The first super-resolution image is initialized by interpolation of the first low-resolution image. The imaging system is simulated for every super-resolution image at a time, and the error between the simulated image and the corresponding low-resolution image is calculated. The resolution enhancement is achieved by back-projecting this error to the corresponding super-resolution image. The imaging system's PSF and the back-projection filter are estimated with a resolution higher than that of the super-resolution images, and the filtering is done by polyphase versions of these filters. The polyphase filters have embedded sub-pixel displacements corresponding to the translation parameters between the super-resolution image and the low-resolution one. The use of the polyphase filters allows exploitation of the observed data without any smoothing and/or interpolation operations. Also, no modeling of the PSF by an analytical function is necessary. Presented experimental results show encouraging resolution enhancements.
UR - http://www.scopus.com/inward/record.url?scp=0033708474&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2000.859267
DO - 10.1109/ICASSP.2000.859267
M3 - Conference contribution
AN - SCOPUS:0033708474
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 2171
EP - 2174
BT - Image and Multidimensional Signal ProcessingMultimedia Signal Processing
PB - Institute of Electrical and Electronics Engineers
T2 - 25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000
Y2 - 5 June 2000 through 9 June 2000
ER -