A Robust Noise Detector for High Density Impulse Noise


(*) Corresponding author


Authors' affiliations


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


We propose a robust adaptive algorithm for detecting random-valued impulse noise even for highly corrupted images. A variant of Rank-Ordered Absolute Difference (ROAD) called Hybrid Dynamical ROAD (HDROAD) is proposed to improve the accuracy of noise detection. A dynamic window selector chooses the size and shape of the window depending on the density and orientation of noise such as in edges. A considerable amount of PSNR and MSE improvement can be done if the noise detector is accurate in finding out the noisy pixel correctly and if it is efficient enough to misclassify the noiseless pixel as corrupted. Also the rank or length parameter used in ROAD is varied according to the need of the noise detector and a cumulative rank (CR) is used to further improve the performance. We validate the performance of our noise detector using two widely used parameters namely Nf and Nm. A Detailed analysis of the algorithm and the simulation results show that the proposed algorithm is robust for detecting noises significantly even for noise level as high as 80%.
Copyright © 2013 Praise Worthy Prize - All rights reserved.

Keywords


Impulse Noise Detection; ROAD; MAD; S-Estimate

Full Text:

PDF


References


Yiqiu Dong; Chan, R.H.; Shufang Xu, "A Detection Statistic for Random-Valued Impulse Noise" IEEE Transactions on Image Processing, vol.16, no.4, pp.1112,1120, April 2007.

Garnett, R.; Huegerich, T.; Chui, C.; Wenjie He, "A universal noise removal algorithm with an impulse detector" IEEE Transactions on Image Processing, vol.14, no.11, pp.1747,1754, Nov. 2005.

Xuming Zhang; Youlun Xiong, "Impulse Noise Removal Using Directional Difference Based Noise Detector and Adaptive Weighted Mean Filter" IEEE Signal Processing Letters, vol.16, no.4, pp.295, 298, April 2009

Ghanekar, U.; Singh, A.K.; Pandey, R., "A Contrast Enhancement-Based Filter for Removal of Random Valued Impulse Noise" IEEE Signal Processing Letter , vol.17, no.1, pp.47,50, Jan. 2010

Civicioglu, P., "Removal of random-valued impulsive noise from corrupted images" IEEE Transactions on Consumer Electronics, vol.55, no.4, pp.2097,2104, November 2009

Chih-Hsing Lin; Jia-Shiuan Tsai; Ching-Te Chiu, "Switching Bilateral Filter With a Texture/Noise Detector for Universal Noise Removal" IEEE Transactions on Image Processing, vol.19, no.9, pp.2307,2320, Sept. 2010

Tripathi, A.K.; Ghanekar, U.; Mukhopadhyay, S., "Switching median filter: advanced boundary discriminative noise detection algorithm" IET Image Processing, vol.5, no.7, pp.598,610, Oct. 2011

Bo Xiong; Zhouping Yin, "A Universal Denoising Framework With a New Impulse Detector and Nonlocal Means" Image Processing, IEEE Transactions on , vol.21, no.4, pp.1663,1675, April 2012

Chih-Yuan Lien; Chien-Chuan Huang; Pei-Yin Chen; Yi-Fan Lin, "An Efficient Denoising Architecture for Removal of Impulse Noise in Images" IEEE Transactions on Computers, vol.62, no.4, pp.631,643, April 2013

Yuan, S. -Q; Tan, Y. -H, "Difference-type noise detector for adaptive median filter" Electronics Letters, vol.42, no.8, pp.454,455, 13 April 2006

Vahdat-Nejad, H., Tork-Ladani, B., Zamanifar, K., Nematbakhsh, N., A novel algorithm for impulse noise classification in digital images, (2009) International Review on Computers and Software (IRECOS), 4 (6), pp. 627-632.

Kuppusamy, P.G., Hemamalini, R.R., A VLSI based framework for iterative and adaptive based image filter for impulse noise removal, (2013) International Review on Computers and Software (IRECOS), 8 (1), pp. 235-242.


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2022 Praise Worthy Prize