TITLE:
Efficient Global Threshold Vector Outlyingness Ratio Filter for the Removal of Random Valued Impulse Noise
AUTHORS:
J. Amudha, R. Sudhakar
KEYWORDS:
Image Restoration, Noise Detection, Noise Removal, Random Valued Impulse Noise, Global Threshold Vector Outlyingness Ratio
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.6,
May
11,
2016
ABSTRACT: This research paper proposes a filter to remove Random Valued
Impulse Noise (RVIN) based on Global Threshold Vector Outlyingness Ratio
(GTVOR) that is applicable for real time image processing. This filter works
with the algorithm that breaks the images into various decomposition levels
using Discrete Wavelet Transform (DWT) and searches for the noisy pixels using
the outlyingness of the pixel. This algorithm has the capability of
differentiating high frequency pixels and the “noisy pixel” using the threshold
as well as window adjustments. The damage and the loss of information are
prevented by means of interior mining. This global threshold based algorithm
uses different thresholds for different quadrants of DWT and thus helps in
recovery of noisy image even if it is 90% affected. Experimental results
exhibit that this method outperforms other existing methods for accurate noise
detection and removal, at the same time chain of connectivity is not
lost.