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September 1977 (vol. 26 no. 9)
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.
Index Terms:
Conjugate gradient method, constrained restoration, image processing, least squares, restoration, spline functions, unconstrained restoration.
Citation:
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, Sept. 1977, doi:10.1109/TC.1977.1674934
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