APPROACH TO DETERMINING GAUSSIAN NOISE PARAMETERS BASED ON QUALITY INDICATORS IN IMAGES
Keywords:
digital image, noise, Gaussian distribution, filter, quality indicatorAbstract
In the field of digital imaging, accurate estimation of noise level allows solving many image processing tasks in terms of image quality improvement and image restoration. In this research work, Gaussian noise, which occurs in all types of images, is studied, and the task is to determine the parameter of this noise level. Also, using the BRISQUE (Blind/Referenceless Image Spatial Quality Evaluator) indicator, which is popular among benchmark-free image quality evaluation indicators, a mechanism is proposed to determine the interval to which the noise parameter belongs.
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Copyright (c) 2025 Narzullo Mamatov, Keulimjay Erejepov, Malika Jalelova
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