Least Squares Image Restoration Using Spline Basis Functions
Hou, Andrews · IEEE Transactions on Computers · 1977
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.