Reconfigurable Architecture of Adaptive Median Filter An FPGA

Reconfigurable Architecture of Adaptive Median Filter – An FPGA Based Approach for Impulse Noise Suppression Presented by IIS TECHNOLOGIES No: 40, C-Block, First Floor, HIET Campus, North Parade Road, St. Thomas Mount, Chennai, Tamil Nadu 600016. Landline: 044 4263 7391, mob: 9952077540. Email: info@iistechnologies. in, Web: www. iistechnologies. in

ABSTRACT • In this paper, low complexity reconfigurable hardware architecture for adaptive median filter is proposed and a comparative study of hardware based median and adaptive median filter is presented. An efficient development of median & adaptive median filter is presented for removal of impulse noise mainly salt & pepper noise from digital Images. • Performance measurement of mean square error (MSE) and peak signal-to-noise ratio (PSNR) is done to compare these two filters. This paper proposes hardware implementation which is highly required for real time execution. • Field Programmable Gate Arrays (FPGAs) are widely used for real time processing where the requirements of time, speed, area, power become strict. The algorithms of these two filters are discussed in detail which is followed by FPGA based solutions. Simulation is done using Xilinx ISE 14. 5 software of XILINX platform where the implementations utilize on Genesys VERTEX V FPGA Board of XC 5 VLX 50 T device family. • Keywords--Adaptive Median Filter, Real-time Filtering, Salt-and-pepper noise, Impulse Noise, Field programmable gate array (FPGA). www. iistechnologies. in

Introduction of the Median Filter • The field of image processing has wide and important uses. Any field of work that involves images or videos has uses for research in this area. The results of this project will influence how images are processed and enhanced. • Application stemming from the results of this project will be important to image and video enhancement applications because this research project provides insights on the best techniques in filtering and enhancing each kind of image. • This project explores the effects of the median filter on different types of images. The fields explored include its effects on digital images of people, scenery, and objects. The quality of filtered images will be determined in a subjective manner. • The effects of human errors and subjectivity do not detract from this study because image filtering is done for subjective and aesthetic qualities, so this method of evaluation makes sense as well. The median filter considers each pixel in the image in turn and looks at its nearby neighbors to decide whether or not it is representative of its surroundings. • Instead of simply replacing the pixel value with the mean of neighboring pixel values, it replaces it with the median of those values. The median is calculated by first sorting all the pixel values from the surrounding neighborhood into numerical order and then replacing the pixel being considered with the middle pixel value. www. iistechnologies. in

PROPOSED METHOD The proposed system is developed in order to get the following • Input size is varied and results are analyzed • Gray code input is given and their results are analyzed www. iistechnologies. in

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