Abstract :
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.
Keywords :
Conjugate gradient method, constrained restoration, image processing, least squares, restoration, spline functions, unconstrained restoration.; Adaptive optics; Degradation; Equations; Image restoration; Least squares methods; Optical distortion; Optical films; Optical noise; Optical sensors; Spline; Conjugate gradient method, constrained restoration, image processing, least squares, restoration, spline functions, unconstrained restoration.;
