A COMPARATIVE STUDY ALGORITHM FOR NOISY IMAGE RESTORATION IN THE FIELD OF MEDICAL IMAGING Article Swipe

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IJAIT ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.5121/ijait.2016.6111

This paper presents the performance analysis of different basic techniques used for the image restoration.Restoration is a process by removing blur and noise from image and get back the original form. Medicalimages play a vital role in dealing with the detection of various diseases in patients and they face theproblem of salt and pepper noise and Gausian noise. Hence restoration is performed based on differentimage restoration techniques. In this paper, popular restoration techniques is applied and analyzed in therecovery of medical images,.

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Image restoration Computer vision Artificial intelligence Computer science Medical imaging Noise (video) Field (mathematics) Face (sociological concept) Image (mathematics) Process (computing) Image processing Noise reduction Medical treatment Iterative reconstruction Noise measurement Deconvolution Algorithm Depth of field Pattern recognition (psychology) Image enhancement Image registration Background noise Image noise

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Landing Page: https://doi.org/10.5121/ijait.2016.6111
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DOI: https://doi.org/10.5121/ijait.2016.6111

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Title: A COMPARATIVE STUDY ALGORITHM FOR NOISY IMAGE RESTORATION IN THE FIELD OF MEDICAL IMAGING

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Publication year: 2025

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Publication date: 2025-11-26

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Landing page: https://doi.org/10.5121/ijait.2016.6111

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Concepts: Image restoration, Computer vision, Artificial intelligence, Computer science, Medical imaging, Noise (video), Field (mathematics), Face (sociological concept), Image (mathematics), Process (computing), Image processing, Noise reduction, Medical treatment, Iterative reconstruction, Noise measurement, Deconvolution, Algorithm, Depth of field, Pattern recognition (psychology), Image enhancement, Image registration, Background noise, Image noise

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