Open AccessQualityAdaptive sharpness enhancement and noise removal of a colour images based on the bilateral filtering
Author(s) -
Ms.V. Durgarchana,
Mr.B. Praveen,
Banavar Sridhar
Publication year - 2012
Publication title -
international journal of image processing and vision sciences
Language(s) - English
Resource type - Journals
ISSN - 2278-1110
DOI - 10.47893/ijipvs.2012.1009
Subject(s) - unsharp masking , sharpening , computer vision , artificial intelligence , image restoration , edge enhancement , computer science , image enhancement , bilateral filter , filter (signal processing) , noise (video) , enhanced data rates for gsm evolution , overshoot (microwave communication) , image (mathematics) , mathematics , image processing , telecommunications
In this paper, we present the Adaptive Bilateral Filter (ABF) for sharpness enhancement and noise removal of a colour images. The ABF sharpens an image by increasing the slope of the edges without producing overshoot or undershoot. It is an approach to sharpness enhancement that is fundamentally different from the unsharp mask (USM). This new approach to slope restoration also differs significantly from previous slope restoration algorithms. Compared with an USM based sharpening method, the optimal unsharp mask (OUM), In terms of noise removal, ABF will outperform the bilateral filter and the OUM. ABF works well for both gray images and color images. Due to operation of sharpening of colour images along the edge slope tend to poseterize the image using ABF by pulling up or pulling down the colour images. The proposed method is effective at removing signal noise while enhancing the experimental results in perceptual quality both quantatively and qualitatively.