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
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;
Conference_Titel :
Simulation Symposium, 1992. Proceedings., 25th Annual
Conference_Location :
Orlando, FL
Print_ISBN :
0-8186-2765-4
DOI :
10.1109/SIMSYM.1992.227560
