Title :
Restoration of impulse noise corrupted images using long-range correlation
Author :
Wang, Zhou ; Zhang, David
Author_Institution :
Dept. of Comput. Sci., City Univ. of Hong Kong, Hong Kong
Abstract :
We present a new algorithm that can remove impulse noise from corrupted images while preserving details. The algorithm is fundamentally different from the traditional methods in that it can utilize information not just of a local window centered about the corrupted pixel, but also of some remote regions in the image. Computer simulations indicate that our algorithm outperforms many existing techniques.
Keywords :
correlation methods; filtering theory; image restoration; image segmentation; noise; computer simulations; corrupted pixel; filtering algorithm; image detail preservation; image restoration; impulse noise corrupted images; impulse noise removal; local window; long-range correlation; remote image regions; Computer simulation; Detectors; Image enhancement; Image restoration; Noise cancellation; Noise generators; Noise measurement; Pixel; Pollution measurement; Sun;
Journal_Title :
Signal Processing Letters, IEEE
