DocumentCode
3254574
Title
A linear approximation method for optimum calculation in image processing
Author
Chen, Tao ; Chen, Hong
Author_Institution
Dept. of Electr. Eng., Notre Dame Univ., IN, USA
fYear
1992
fDate
6-9 Apr 1992
Firstpage
214
Lastpage
220
Abstract
A novel modified linear approximation method (MLAM) is introduced for fast optimal calculation in image processing. The analytical properties of this new algorithm is discussed and its proof of convergence is given. Simulations have been conducted and experimental results show that, in terms of the solution seeking speed, MLAM can perform as much as 60% better than the bisection method, a typical method commonly used
Keywords
approximation theory; convergence; digital simulation; image processing; optimisation; bisection method; convergence; image processing; modified linear approximation method; optimum calculation; simulations; solution seeking speed; Algorithm design and analysis; Cost function; Frequency estimation; Image processing; Image reconstruction; Linear approximation; Markov random fields; Maximum likelihood estimation; Pixel; Tomography;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Symposium, 1992. Proceedings., 25th Annual
Conference_Location
Orlando, FL
Print_ISBN
0-8186-2765-4
Type
conf
DOI
10.1109/SIMSYM.1992.227560
Filename
227560
Link To Document