[1] Zhu Zhu, Wang Qing, Xiao Yanchang, et al. A detail-preserving random-valued impulse noiseremoval algorithm based on S-ROAD [J]. Journal of Southeast University (English Edition), 2012, 28 (4): 438-444. [doi:10.3969/j.issn.1003-7985.2012.04.012]

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A detail-preserving random-valued impulse noiseremoval algorithm based on S-ROAD()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

28

Issue:

2012 4

Page:

438-444

Research Field:

Computer Science and Engineering

Publishing date:

2012-12-30

Info

Title:

A detail-preserving random-valued impulse noiseremoval algorithm based on S-ROAD

Author(s):

Zhu Zhu¹;  2;  Wang Qing¹;  Xiao Yanchang¹;  Wan Xueyin¹;  Zhang Xiaoguo¹;  2

¹ School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China
²Suzhou Research Institute, Southeast University, Suzhou 215123, China

Keywords:

S-estimate;  rank-ordered absolute difference;  edges and details;  impulse noise

PACS:

TP391

DOI:

10.3969/j.issn.1003-7985.2012.04.012

Abstract:

In a random-valued impulse noise corrupted image, in order to remove impulse noise and, meanwhile, efficiently preserve image edges and details, a novel two-phase detail-preserving random-valued impulse noise removal algorithm is proposed. At the noise detecting phase, an image statistic called S-estimate based rank-ordered absolute difference(S-ROAD)is presented to distinguish image edge and detail pixels from impulse noise pixels in a noise corrupted image. By introducing S-estimate into ROAD statistic, the interference caused by the image edges and details in the ROAD statistic is eliminated. With the S-ROAD statistic, most of the noise pixels, including the noise at edges and details, can be distinguished. At the noise pixels filtering phase, a two-threshold iterative method is used to restore the identified noise pixels and the estimate precision is improved; thus, the image details can be efficiently preserved. Experimental results show that the proposed method provides a significant improvement over many existing filters in terms of both subjective and objective evaluations.

References:

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Memo

Memo:

Biographies: Zhu Zhu(1983—), male, graduate; Wang Qing(corresponding author), male, doctor, professor, W3398a@263.net.
Foundation item: The National Key Technologies R& D Program of China during the 12th Five-Year Period(No.2012BAJ23B02).
Citation: Zhu Zhu, Wang Qing, Xiao Yanchang, et al. A detail-preserving random-valued impulse noise removal algorithm based on S-ROAD[J].Journal of Southeast University(English Edition), 2012, 28(4):438-444.[doi:10.3969/j.issn.1003-7985.2012.04.012]

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