Title :
Ringing reduction in image restoration by orientation-selective regularization
Author :
You, Yu-Li ; Kaveh, M.
Author_Institution :
Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA
Abstract :
The success of ringing artifact reduction in image restoration depends mainly on how the restoration methods accommodate the piecewise smoothness of the image. The article presents a regularization method that adapts both its degree and orientation of regularization operation to the spatial activities of the image intensity and edge orientations. This is achieved by anisotropic diffusion. Its restoration quality compares favorably with that of a previously proposed regularization method that is space adaptive only in the degree of regularization.
Keywords :
adaptive signal processing; edge detection; image restoration; adaptive image regularization; anisotropic diffusion; edge detection; edge orientations; image intensity; image restoration; orientation selective regularization; piecewise smoothness; regularization method; regularization operation; restoration quality; ringing artifact reduction; spatial activities; Anisotropic magnetoresistance; Calculus; Contracts; Deconvolution; Degradation; Gaussian noise; Image restoration; Signal processing algorithms; Signal restoration; Smoothing methods;
Journal_Title :
Signal Processing Letters, IEEE