An Effective FPGA Implementation of Denoising of Impulse Noise in Images

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A.Jeniffer
S.Haripasath
S.Chinthamani
G.Chitra
V.Karthiga

Abstract

Noise filtering and image enhancement are two applications of great importance in the field of image processing. The final image is an essential part of any image processor, whether it is used for visual interpretation or automatic analysis. Images are degraded by various types of noise during image acquisition and transmission. One such noise affecting nearly all images is the noise of the impulse. In this work, an efficient detection and removal scheme is proposed for the presence of noise from impulses in images. Subsequently, the VLSI architecture is also proposed using a Virtex family of FPGAs. In the proposed work in 4 stages the noise detection and reconstruction of the pixel from noise is performed. Compared to the existing techniques, the amount of hardware calculations is reduced in the proposed work, which could therefore be used for real - time applications.

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How to Cite
A.Jeniffer, S.Haripasath, S.Chinthamani, G.Chitra, & V.Karthiga. (2022). An Effective FPGA Implementation of Denoising of Impulse Noise in Images. IIRJET, 1(3). https://doi.org/10.32595/iirjet.org/v1i3.2016.15