文档介绍：Hybrid ic Algorithm Based Image Enhancement
Technology
Mu Dongzhou Department of the Information Engineering XuZhou College of Industrial Technology
XuZhou, China ******@mail.
Xu Chao and Ge Hongmei Department of the Information Engineering XuZhou College of Industrial Technology
XuZhou, China xuch@ mail., ******@mail.
Abstract—in image enhancement, Tubbs proposed a normalized plete Beta function to represent several kinds monly used non-linear transform functions to do the research on image enhancement. But how to define the coefficients of the Beta function is still a problem. We proposed a Hybrid ic Algorithm bines the Differential Evolution to the ic Algorithm in the image enhancement process and utilize the quickly searching ability of the algorithm to carry out the adaptive mutation and searches. Finally we use the Simulation experiment to prove the effectiveness of the method.
Keywords- Image enhancement; Hybrid ic Algorithm; adaptive enhancement
I. INTRODUCTION
In the image formation, transfer or conversion process, due to other objective factors such as system noise, inadequate or excessive exposure, relative motion and so the impact will get the image often a difference between the original image (referred to as degraded or degraded) Degraded image is usually blurred or after the extraction of information through the machine to reduce or even wrong, it must take some measures for its improvement.
Image enhancement technology is proposed in this sense, and the purpose is to improve the image quality. Fuzzy Image Enhancement situation according to the image using a variety of special technical highlights some of the information in the image, reduce or eliminate the irrelevant information, to emphasize the image of the whole or the purpose of local features. Image enhancement method is still no unified theory, image enhancement techniques can be divided into three categories: point operations, and spatial frequency enhancement methods Enhancement Act.