International Journal on Science and Technology

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A Comparative Study of Image Denoising Techniques

Author(s) Mr. Vivek Gour, Neeraj Sharma
Country India
Abstract The formation of a picture is influenced by several elements, including the properties of the camera (sensor response, lenses), the illumination (spectra, source, and intensity), and the image itself. So, noise is the main culprit when it comes to picture quality loss. Important information in photos are obscured by noise. We need to eliminate noise from the photos while preserving all of the image data in order to improve the image quality. As part of the image processing pipeline, noise reduction is a pre-processing step. A variety of sounds may distort the pictures. Various sources of noise may manifest on photographs; they include inaudible sensors, malfunctioning scanners or digital cameras, transmission channel faults, and damaged storage media. Researchers have proposed a number of ways for improving photographs by eliminating noise while keeping crucial characteristics, such as structural elements and textural information. We provide a survey on noise categories, picture types, and techniques for noise reduction in this work. Pulse noise, speckle noise, and Gaussian noise were all taken into account from the two most valuable picture types: grayscale images, medical images, and sensor images. We examine every method that can remove noise from these photos. By the conclusion of the study, we have compared all of these algorithms and come up with some great ideas for where the field may go from here.
Keywords Image processing, grayscale, sensor pictures, medical imaging, structural characteristics, textural information, impulse noise, speckle noise, and Gaussian noise
Field Computer > Electronics
Published In Volume 16, Issue 3, July-September 2025
Published On 2025-07-16
DOI https://doi.org/10.71097/IJSAT.v16.i3.6807
Short DOI https://doi.org/g9t2xn
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