Open AccessRemoval of Noise in an Image using Boundary Detection Technique
Author(s) -
M. Sarvesh,
M. Sivagami,
N. Maheswari
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1911/1/012018
Subject(s) - sharpening , artificial intelligence , image noise , noise (video) , computer vision , computer science , pixel , brightness , dark frame subtraction , median filter , entropy (arrow of time) , image processing , boundary (topology) , image (mathematics) , mathematics , optics , physics , mathematical analysis , quantum mechanics
Image data recorded by devices contain mistakes or noises due to geometry and brightness values of the pixels. These mistakes are rectified using proper mathematical models. Examples of models include contrast and edge enhancement, pseudo-colouring, shadow removal, noise filtering, sharpening, and magnifying. Applying filters to remove a noise may lead to loss of some important data like edges in the image. The proposed work removes the noise from the image using local neighbourhood processing and preserves the edges using boundary-based approach. The noise filtered image is tested against the parameter entropy to validate the result.