Image restoration using equivalent imaging optics

Abstract We propose a new image processing method which enables the use of a single lens instead of an automatic focusing system in the electronic still camera. The simulated annealing algorithm is applied to restoration of space-variant image blur, and an electroptic hybrid processor with the optics equivalent to the imaging system is also proposed for a hardware implementation of simulated annealing. Numerical estimations of the imaging parameters are not required, and highly parallel processing is possible. We also describe a method capable of gray-level data with low dynamic-range devices. Results from experiments and a computer simulation are presented.

[1]  J. Ohta,et al.  GaAs/AlGaAs optical synaptic interconnection device for neural networks. , 1989, Optics letters.

[2]  N Ohyama,et al.  Analysis of the cost function used in simulated annealing for CT image reconstruction. , 1990, Applied optics.

[3]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[4]  Chuan Yi Tang,et al.  A 2.|E|-Bit Distributed Algorithm for the Directed Euler Trail Problem , 1993, Inf. Process. Lett..

[5]  Donald Geman,et al.  Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  N Ohyama,et al.  Three-dimensional blood vessel reconstruction by simulated annealing. , 1989, Optics letters.

[7]  M. Nieto-Vesperinas,et al.  Phase retrieval by Monte Carlo methods , 1986 .

[8]  J Shamir,et al.  Iterative generation of holograms on spatial light modulators. , 1990, Optics letters.

[9]  B. C. McCallum.  Blind deconvolution by simulated annealing , 1990 .

[10]  M A Fiddy,et al.  Image-restoration algorithms for a fully connected architecture. , 1990, Optics letters.

[11]  Alexander A. Sawchuk,et al.  Space-variant image restoration by coordinate transformations* , 1974 .

[12]  Harrison H. Barrett,et al.  Optical Implementations In Boltzmann Machines , 1987 .

[13]  H H Barrett,et al.  Image reconstruction from coded data: I. Reconstruction algorithms and experimental results. , 1985, Journal of the Optical Society of America. A, Optics and image science.