Open AccessA method to remove image noise based on 6-tap Filter Interpolation
Author(s) -
Nan Wang,
Ya-Di Zhang
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 - 10.1088/1742-6596/1748/4/042003
Subject(s) - demosaicing , interpolation (computer graphics) , stairstep interpolation , computer vision , artificial intelligence , filter (signal processing) , noise (video) , computer science , image scaling , mathematics , bilinear interpolation , image processing , multivariate interpolation , image (mathematics) , binary image
A method to remove the noise of image based on 6-tap filter interpolation is investigated in this work. To this goal, the algorithm principle of 6-tap filter interpolation including 1 / 2 pixel interpolation process, 1 / 4 pixel interpolation process and 1 / 8 pixel interpolation process are firstly analyzed. Then, in order to validate the effectiveness of 6-tap filter interpolation for the image denoising, two images added with Gaussian noise are processed by 6-tap filter interpolation and the SNR is used to evaluate the post-processing image. The obtained results show the SNR of post-image is larger than that of pre-processing image, which proves that the 6-tap filter interpolation can be acted as an effective method to remove the noise of image.