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Restoration of blurred images due to linear motion using a joint transform processor
Author(s) -
Cheng Feng,
Xu Xin,
Wu Shudong,
Yu Francis T. S.,
Gregory Don A.
Publication year - 1990
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.4650030110
Subject(s) - deblurring , deconvolution , computer vision , computer science , joint (building) , artificial intelligence , grating , image restoration , motion blur , blind deconvolution , image (mathematics) , computer graphics (images) , algorithm , mathematics , image processing , engineering , geometry , architectural engineering
Abstract In this paper we shall show that blurred photographic images due to linear motion can be restored with a joint transform processor (JTP). The deconvolution function for the image deblurring can be directly implemented at the input plane of a JTP. The bipolarity of the deconvolution function can be accomplished by encoding with a ±‐shifted grating structure. Computer simulations to test the feasibility of the scheme are given.