NDLI: An efficient new edge preserving technique for removal of salt and pepper noise

Content Provider	IEEE Xplore Digital Library
Author	Kumar, A. Agarwal, N. Bhadviya, J. Mittal, G. Ramponi, G.
Copyright Year	2013
Description	Author affiliation: LNM Inst. of Inf. Technol., Jaipur, India (Kumar, A.; Agarwal, N.; Bhadviya, J.) \|\| Univ. of Trieste, Trieste, Italy (Ramponi, G.) \|\| IIIT Hyderabad, Hyderabad, India (Mittal, G.)
Abstract	This paper proposes an efficient procedure for removal of salt and pepper noises from the noisy images on the basis of their local edge preserving filters. This algorithm consists of two major stages. In the first stage, the maximum and minimum pixel value in the the corrupted image is used to select noisy pixels or noise free pixels and then in second stage, local edge preserving filters are used on the basis of noisy pixel detected and the nature of its neighboring pixels in the selected window. Comparing the obtained results with other computationally simple noise removal techniques, our proposed algorithm gives much better qualitative and quantitative performance. Due to its simplicity and low computational cost, our method is suitable for its application in many real time situations.
Starting Page	16
Ending Page	19
File Size	724488
Page Count	4
File Format	PDF
ISBN	9789531841948
DOI	10.1109/ISPA.2013.6703707
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-04
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	University of Trieste and University of Zagreb
Subject Keyword	Noise Noise measurement Signal processing algorithms Noise reduction Image restoration Detectors Image edge detection Salt and Pepper Noise Edge Preserving Median Filter Noise Detection
Content Type	Text
Resource Type	Article

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