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Home > Archives > Volume 20, No 11 (2022) > Article

DOI: 10.14704/NQ.2022.20.11.NQ66028

NOISE REMOVAL TECHNIQUES FOR DIGITAL IMAGE PROCESSING

Amey Magarde, Bhavana Gokulka, Sakshi Bang, Tanaya Khedkar, Gouri Morankar

Abstract

Various kinds of noise are introduced into digital images during various processes such as image acquisition, compression, storing, retrieval and transmission. Consequently it is utmost necessary to employ noise removal technique in the first stage of various image processing systems. Random fluctuations in intensity, variations in illumination, or inadequate lighting can further degrade the image. Furthermore, noise must be eliminated to improve the accuracy and precision of image processing applications. An effective noise removal technique for each noise is required that exhibits simplicity, less computational complexity and effective noise removal. In this paper, noise removal techniques for Salt and Pepper, Speckle, Gaussian and Poisons noise are presented. It was observed that median filter is efficient in removing Salt and Pepper, Speckle, Gaussian and Poisons noise. An effective noise removal technique for each noise is demonstrated and comparative analysis is presented for better selection of filtering technique for accentuating image processing applications.

Keywords

Salt and pepper, Gaussian, Poisons, Speckle, Noise removal techniques.

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