Open AccessAn Efficient Filtering Technique for Denoising Colour Images
Author(s) -
K. Arun Sai,
K. Ravi
Publication year - 2018
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v8i5.pp3604-3608
Subject(s) - demosaicing , artificial intelligence , computer vision , computer science , masking (illustration) , interpolation (computer graphics) , noise reduction , image scaling , image (mathematics) , clutter , noise (video) , filter (signal processing) , pixel , image processing , color image , radar , art , telecommunications , visual arts
Single-sensor digital cameras capture image with the aid of masking the sensor surface along a colour filter array(CFA) such that every sensor pixel solely samples certain of three primary colour values i.e., R (red)G (green) and B (blue). To get a full-colour image, an interpolation method commonly referred in conformity with CFA demosaicking is required to estimate the other two contributions for producing a full-colour image. But, the clutter in imaging sensors not only corrupts the colour filter array but also introduces artifacts at some stage in the colour interpolation step and affects the characteristics of image. To acquire high quality full-colour image, a kind of viable and effective interpolation algorithm based over gradient is used. This technique can remove the noise effectively by retaining image border and detail data clearly.