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http://dx.doi.org/10.1109/82.749102

has been cited by the following article:

• 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.