Application of Different Filtering Techniques in Digital Image Processing

Abstract Noise in an image is a random variation of brightness or color information in the original image. Noise is consistently presented in digital images during picture obtaining, coding, transmission, and processing steps. Image noise is most apparent in image regions with a low signal level. Th...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 2062; no. 1; pp. 12007 - 12013
Main Authors Mohanty, Sumant Sekhar, Tripathy, Sushreeta
Format Journal Article
LanguageEnglish
Published IOP Publishing 01.11.2021
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Summary:Abstract Noise in an image is a random variation of brightness or color information in the original image. Noise is consistently presented in digital images during picture obtaining, coding, transmission, and processing steps. Image noise is most apparent in image regions with a low signal level. There are various reasons for the creation of noise in an image, such as electronic noise in amplifiers or detectors, disturbances and overheating of the sensor, disturbances in the medium of traveling for a digital image, etc. Noise is exceptionally hard to eliminate from the digital pictures without the earlier information of the noise model. There are various types of noise that can be available in a noise model. Filters are used to remove these types of noises in a digital image in image processing. In this research, we have implemented different filtering techniques that have been used to remove the noises in an image.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2062/1/012007