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Nonlocal means algorithm using superformula kernel for image denoising
Chen L.; Zhou Y.; Chen C.L.P.
2013-12-01
Conference NameIEEE International Conference of Region 10 (TENCON)
Source PublicationIEEE Region 10 Annual International Conference, Proceedings/TENCON
Conference DateOCT 22-25, 2013
Conference PlaceXian, PEOPLES R CHINA
Abstract

Using the superformula, a mathematic function describing many complex shapes and curves, this paper designs a new superformula kernel (SFK). We then introduce a novel nonlocal means (NLM) algorithm for image denoising by replacing the Gaussian kernel with the SFK. Simulations and comparisons demonstrate that the proposed kernel and algorithm show excellent denoising performance in terms of the peak signal and ratio (PSNR) and structural similarity (SSIM). © 2013 IEEE.

KeywordImage Denoising Nonlocal Means Peak Signal And Ratio Structural Similarity Superformula Kernel
DOIhttp://doi.org/10.1109/TENCON.2013.6718973
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000334921600263
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Citation statistics
Document TypeConference paper
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationUniversidade de Macau
Recommended Citation
GB/T 7714
Chen L.,Zhou Y.,Chen C.L.P.. Nonlocal means algorithm using superformula kernel for image denoising[C],2013.
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