A linear approximation method for optimum calculation in image processing

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.<>