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Restoration of noisy images blurred by a random point spread function

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2 Author(s)
Bilgen, M. ; Dept. of Electr. Eng. & Comput. Eng., Iowa State Univ., Ames, IA, USA ; Hsien-Sen Hung

An estimation method based on the constrained least-squares principle is presented for the restoration of images distorted by a random point spread function and additive measurement noise. The proposed filter modifies the conventional constrained least-squares filter by incorporating additional statistical characteristics about the randomness of the point spread function. Simulation results show that the proposed method outperforms the conventional constrained least-squares method, which neglects the randomness of the point spread function. For space-invariant systems, the modified constrained least-squares filter can be constructed in the discrete frequency domain and its overall computation can be carried out using the fast Fourier transform

Published in:

Circuits and Systems, 1990., IEEE International Symposium on

Date of Conference:

1-3 May 1990