Image Denoising Using Spatial and Frequency Domain Filters: A Tool for Image Quality Enhancement

Image denoising plays a vital role in image analysis. Image denoising helps in removing noise in the image by which the quality of the image is improved. Image denoising is mainly used in photographic images for enhancing the quality, medical image analysis where inbuilt noises are present due to images obtained from various imaging modalities. These noises should be removed to get a better understanding of medical images to detect tumor, cancer, and other diseases. Denoising helps in improving the image fidelity in satellite images. This work focuses on performing image denoising by various spatial and frequency domain filters on photographic images to enhance the image quality. The comparative analysis of all these filters is analyzed based on quality metrics like peak signal-to-noise ratio (PSN)R and mean square error (MSE).