Title :
A general formulation for iterative restoration methods
Author :
Noonan, Joseph P. ; Natarajan, Premkumar
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Tufts Univ., Medford, MA, USA
fDate :
10/1/1997 12:00:00 AM
Abstract :
Information theory-based techniques for signal or image restoration and resolution enhancement are now considered a viable alternative to other popular techniques. In this correspondence, we present a general iterative mapping derived using an information theoretic criterion of optimality. A mathematical structure is defined followed by an analysis of the mapping, based on this structure. The convergence of the mapping is considered both in the general formulation and for a particular example. Some popular techniques are shown to be special cases of this general mapping
Keywords :
information theory; iterative methods; signal resolution; signal restoration; general formulation; general iterative mapping; image restoration; information theory-based techniques; iterative restoration methods; mathematical structure; optimality; resolution enhancement; signal restoration; Convergence; Degradation; Image resolution; Image restoration; Information theory; Iterative methods; Predistortion; Signal processing algorithms; Signal resolution; Signal restoration;
Journal_Title :
Signal Processing, IEEE Transactions on
