Title :
New constraints for set-theoretic image restoration with artifact suppression
Author :
Sezan, M. Ibrahim ; Trussell, H. Joel
Author_Institution :
Eastman Kodak Co., Rochester, NY, USA
Abstract :
Summary form only given. The use of two new constraints in image restoration using set-theoretic algorithms has been investigated. The constraints aim to reduce the signal-dependent and filtered noise artifacts in the resulting restoration. The first constraint proposed is the `bounded variation from the Wiener solution´ constraint. The second is a continuously varying smoothness constraint
Keywords :
interference suppression; picture processing; set theory; Wiener solution; artifact suppression; bounded variation; continuously varying smoothness constraint; filtered noise artifacts; image restoration; set-theoretic algorithms; signal dependent artifacts; Degradation; Frequency domain analysis; Frequency estimation; Frequency response; Image restoration; Large scale integration; Noise reduction; Projection algorithms; Signal restoration; Wiener filter;
Conference_Titel :
Multidimensional Signal Processing Workshop, 1989., Sixth
Conference_Location :
Pacific Grove, CA
DOI :
10.1109/MDSP.1989.97102
