Adaptive Image Demosaicing Algorithm Based On K-Nearest Neighbor for Improved Visual Quality

Main Article Content

Gurjot K Walia
Jagroop S Sidhu

Abstract

Demosaicing extracts a high quality, full-color image from the incomplete data samples obtained through image sensors via bayer pattern. Healthcare, image forensics, low light photos, etc. use this technique. For a major consideration, this work provides an adaptive demosaicing approach that uses gradient corrected linear interpolation along with k-Nearest Neighbor algorithm to learn from the labelled training set, with the output based on a distance measurement. Signal to Noise Ratio, Peak Signal to Noise Ratio were determined in order to justify the effort and the findings showed that the mentioned method produced better results.

Downloads

Download data is not yet available.

Article Details

How to Cite
1.
Walia G, Sidhu J. Adaptive Image Demosaicing Algorithm Based On K-Nearest Neighbor for Improved Visual Quality. sms [Internet]. 30Jun.2022 [cited 29Sep.2022];14(02):223-6. Available from: https://smsjournals.com/index.php/SAMRIDDHI/article/view/2732
Section
Research Articles