Image restoration by parallel processing

Digital processing can be used to restore an image which has been blurred and/or corrupted by noise. This is a very slow process when implemented on a general purpose computer, especially for non-homogeneous problems, where FFT methods cannot be used. This paper describes an algorithm and a processor architecture for restoring an image in parallel, one pixel row at a time. The algorithm can accommodate point-spread functions and object models which are non-causal, non-separable, and non-homogeneous. Some simulation results are presented, although more are contained in [6]. The architecture bears some resemblance to existing "systolic array" designs, but the data input/output is parallel an entire pixel row at a time.