Title :
Image Restoration: An Edge Detection Based Regularization
Author :
Lakshmi, A. ; Rakshit, Subrata
Author_Institution :
Centre for Artificial Intell. & Robot., Bangalore, India
Abstract :
We present a new inhomogeneous image restoration model with an edge detection based regularization term, for known linear shift invariant blur kernel. Our regularization term penalizes the noise, but not the edges. Our method is well suited for real world images with texture. The proposed algorithm has two major benefits : It is tuned to decouple edges from noise and it is computationally very simple. Our method is validated qualitatively and quantitatively against state of the art restoration methods with extensive experiments.
Keywords :
edge detection; image denoising; image restoration; image texture; decouple edges; edge detection based regularization; image texture; inhomogeneous image restoration model; linear shift invariant blur kernel; Frequency domain analysis; Image edge detection; Image restoration; Minimization; Noise; TV; Wavelet transforms; Restoration; image; regularization;
Conference_Titel :
Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2011 Third National Conference on
Conference_Location :
Hubli, Karnataka
Print_ISBN :
978-1-4577-2102-1
DOI :
10.1109/NCVPRIPG.2011.64