Digital Image Processing using the Fast Fourier Transform

Abstract

Image processing is an important technique with diverse applications such as medical treatment, screen reading etc. This paper is aimed to gain insights into how the type of filters applied influence the quality of the image. Through the use of the Fast Fourier Transform algorithm and convolution, the effectiveness of denoising filters (e.g., Low-Pass, Gaussian, Smoothing, and HighBoost Sharpening) are examined.The result reveals the combined filter to have the best quality with significant improvement on denoising and sharpening.