Different Approaches for the Removal of Different Valued Salt and Pepper Noise in Images using Spartan 3

Abstract: To remove high density salt and pepper noise from images an efficient algorithm is proposed. Images are corrupted by salt and pepper noise when they are transmitted over channels because of faulty communication. Impulse noise is nothing but the Salt and Pepper noise. The main objective is to recovered the fully noise free images by removing the impulse noise with minimum signal distortion. There are number of existing noise removing techniques are available with which impulse noise can be removed from images. We are going to work on the images corrupted by salt-and-pepper noise. To remove noise Field Programmable Gate Array is used. The noisy pixels which are present in corrupted images can take only the maximum or minimum values i.e. Minimum is 0 and Maximum is 255 for 8-bit gray scale images.

Keywords: Noise, Filtering techniques, FPGA.