I want to learn it. because maybe I must do a same project.

median filter vhdl code for image

Abstract

In this paper an efficient method for removing noise as well as preserving the edge from corrupted image is presented here. In the signal transmission, the image signal can be corrupted by noise and the blurred image be the result. Impulse noise is caused by malfunctioning pixels in camera sensors, faulty memory locations in
hardware, or transmission in a noisy channel. For instance two common types of impulse noise are the salt-and-pepper noise and the random-valued noise. For images corrupted by salt-and-pepper noise, the noisy pixels can take only the maximum and the minimum. The proposed idea is to run through the image pixel entry by entry and
replacing each entry with the median of neighbouring entries. This Median filter has the capability to remove the noise without damaging the edges. The simulation design gives better image and it is algorithmically simple. Our scheme can remove salt-and-pepper-noise effectively.

Introduction

Median filter is one of the image filtering technique used for handling of digital images in different areas
such as medical, technological applications and many others. This non- linear technique has proven to be a
good alternative to linear filtering as it can effectively suppress impulse noise while preserving edge
information. This paper focuses on processing an image pixel by pixel and in modification of pixel
neighborhoods and the transformation that can be applied to the whole image or only a partial region
MATLAB and Simulink for Model-Based Design provide signal, image, and video processing applications with a development platform that spans design, modeling, simulation, code generation, and implementation. A Model-Based Design to target FPGA can design and simulate systems with MATLAB, Simulink and then generate bit-true, cycle-accu rate, synthesizable VHDL code using HDL Coder. This paper presents an architecture of
filtering images for noise removal using MATLAB Simulink and The work is organized as follows: in
section II the median filter algorithm is described, section III deals with the design of median filter with MATLAB Simulink , in section IV the generated HDL code of filter is simulated in Xilinx and dumped in FPGA, and finally in section V the result and conclusions are presented.