Title :
Recursive high-resolution reconstruction of blurred multiframe images
Author :
Kim, S.P. ; Su, Wen-Yu
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Polytech. Univ., New York, NY, USA
Abstract :
An approach to high-resolution image reconstruction from blurred noisy multiframes is presented. A recursive least square estimation with regularization method is applied for high resolution estimation. This approach provides a unified algorithm for deblurring, noise removal, and high resolution reconstruction. Due to the recursive nature of the algorithm, computations are minimized. The algorithm is highly parallel since reconstruction is done independently for each pel in the transform domain. Computer simulations demonstrate the performance of the algorithm
Keywords :
parallel algorithms; picture processing; blurred multiframe images; computer simulations; deblurring; high resolution estimation; high-resolution image reconstruction; noise removal; parallel algorithm; performance; recursive least square estimation; regularization method; transform domain; Application software; Computer science; Computer simulation; Equations; Frequency; Image reconstruction; Image resolution; Image restoration; Image sampling; Least squares approximation;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-0003-3
DOI :
10.1109/ICASSP.1991.151028