Design of Novel Architecture of Filter to Removal of Noise in Digital Image

Abstract

 Evolvable hardware (EH) is a new field about the use of evolutionary algorithms (EA). It brings together reconfigurable hardware, artificial intelligence, fault tolerance and autonomous systems. Evolvable hardware refers to hardware that can change its architecture and behavior dynamically and autonomously by interacting with its environment This paper represent as a new technique for the design of Adaptive Median Filter within an Evolvable hardware framework, using genetic algorithm (GA), aimed at removing the impulse noise from the image and reducing distortion in the image. This implementation aims at reducing the number of generations required to provide time bound optimal filter configuration and to improve the quality of the filter designed. The GA processing and the Evolvable hardware framework is synthesized on Xilinx . In this paper investigates a high-speed non-linear Adaptive median filter implementation is presented. Then Adaptive Median Filter solves the dual purpose of removing the impulse noise from the image and reducing distortion in the image. Adaptive Median Filtering can achieve the filtering operation of an image corrupted with impulse noise .