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Issue No.09 - September (1977 vol.26)
pp: 856-873
H.S. Hou , Xerox Corporation
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.
Conjugate gradient method, constrained restoration, image processing, least squares, restoration, spline functions, unconstrained restoration.
H.S. Hou, H.C. Andrews, "Least Squares Image Restoration Using Spline Basis Functions", IEEE Transactions on Computers, vol.26, no. 9, pp. 856-873, September 1977, doi:10.1109/TC.1977.1674934
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