Title :
Performance analysis of the TLS algorithm for image reconstruction from a sequence of undersampled noisy and blurred frames
Author :
Bose, N.K. ; Kim, H.C. ; Zhou, B.
Author_Institution :
Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
Abstract :
A theoretical analysis is proposed to evaluate the robustness of the total least square (TLS) algorithm for image reconstruction from a sequence of undersampled noisy and blurred frames in the wavenumber domain. Since the data samples in the wavenumber domain are complex-valued, the results from the TLS theory developed for the case of real-valued data are adapted to the situation at hand. It is shown that the image quality can be improved as more frames become available. In the case of blurred frames, higher resolution images may be reconstructed using the TLS algorithm with post-deblurring. Finally, computer simulation results are provided to demonstrate the robustness of the TLS algorithm for image reconstruction
Keywords :
image reconstruction; image sequences; least squares approximations; noise; TLS algorithm; blurred frames; computer simulation; higher resolution images; image quality; image reconstruction; image sequence; performance analysis; post-deblurring; robustness; total least square algorithm; undersampled noisy frames; wavenumber domain; Algorithm design and analysis; Computer simulation; Image analysis; Image quality; Image reconstruction; Image resolution; Image sequence analysis; Least squares methods; Performance analysis; Robustness;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413741
