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Least Squares Image Restoration Using Spline Basis Functions

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2 Author(s)
Hou, H.S. ; Xerox Corporation ; Andrews, Harry C.

This paper presents a theoretical analysis and computational technique for constrained least squares image restoration using spline basis functions. A realistic continuous–discrete physical imaging model has been adopted throughout the formulation. The optical system is assumed to be incoherent, and the general problem of image restoration with space-variant or space-invariant point-spread function degradations has been studied.

Published in:
Computers, IEEE Transactions on  (Volume:C-26 ,  Issue: 9 )

Date of Publication: Sept. 1977

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