Title :
Sectioned methods for image restoration
Author :
Trussell, H.J. ; Hunt, B.R.
Author_Institution :
University of California, Los Alamos, NM
fDate :
4/1/1978 12:00:00 AM
Abstract :
Locally adaptive image processing methods are constructed by sectioning the image and applying a modified MAP restoration algorithm. These local algorithms are shown to be effective in processing nonstationary images. The algorithms can work in both signal-independent and signal-dependent noise. The gains achieved by local and signal-dependent processing are analyzed.
Keywords :
Acoustics; Deconvolution; Image restoration; Image sensors; Linear systems; Optoelectronic and photonic sensors; Signal analysis; Signal processing; Signal restoration; Wiener filter;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1978.1163073
