Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 정정화 | - |
dc.date.accessioned | 2018-03-13T16:15:52Z | - |
dc.date.available | 2018-03-13T16:15:52Z | - |
dc.date.issued | 2013-12 | - |
dc.identifier.citation | KSII Transactions on Internet and Information Systems, Vol.7, No.12 [2013], p3166-3179 | en_US |
dc.identifier.issn | 1976-7277 | - |
dc.identifier.uri | http://www.itiis.org/digital-library/manuscript/645 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/46368 | - |
dc.description.abstract | A pre-processing system for adaptive noise removal is proposed based on the principle of identifying and filtering object regions and background regions. Human perception of images depends on bright, well-focused object regions; these regions can be treated with the best filters, while simpler filters can be applied to other regions to reduce overall computational complexity. In the proposed method, bright region segmentation is performed, followed by segmentation of object and background regions. Noise in dark, background, and object regions is then removed by the median, fast bilateral, and bilateral filters, respectively. Simulations show that the proposed algorithm is much faster than and performs nearly as well as the bilateral filter (which is considered a powerful noise removal algorithm); it reduces computation time by 19.4 % while reducing PSNR by only 1.57 % relative to bilateral filtering. Thus, the proposed algorithm remarkably reduces computation while maintaining accuracy. | en_US |
dc.description.sponsorship | This research was supported by Hynix Semiconductor Inc. The IDEC provided research facilities for this study. This work was also sponsored by the ETRI SW-SoC R&BD Center, Human Resource Development Project. This research was also supported by the Ministry of Knowledge Economy (MKE), Korea, under the Information Technology Research Center (ITRC) support program supervised by the National IT Industry Promotion Agency (NIPA) (NIPA-2013-H0301-13-1011). | en_US |
dc.language.iso | en | en_US |
dc.publisher | KSII-KOR SOC INTERNET INFORMATION, KOR SCI & TECHNOL CTR, 409 ON 4TH FLR, MAIN BLDG, 635-4 YEOKSAM 1-DONG, GANGNAM-GU, SEOUL 00000, SOUTH KOREA | en_US |
dc.subject | noise reduction | en_US |
dc.subject | image segmentation | en_US |
dc.subject | bilateral filter | en_US |
dc.subject | higher-order statistics | en_US |
dc.subject | pre-processing | en_US |
dc.title | Adaptive Object-Region-Based Image Pre-Processing for a Noise Removal Algorithm | en_US |
dc.type | Article | en_US |
dc.relation.no | 12 | - |
dc.relation.volume | 7 | - |
dc.identifier.doi | 10.3837/tiis.2013.12.012 | - |
dc.relation.page | 3166-3179 | - |
dc.relation.journal | KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS | - |
dc.contributor.googleauthor | Ahn, Sang-Woo | - |
dc.contributor.googleauthor | Park, Jong-Joo | - |
dc.contributor.googleauthor | Luo, Linbo | - |
dc.contributor.googleauthor | Chong, Jong-Wha | - |
dc.relation.code | 2013005809 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF ELECTRONIC ENGINEERING | - |
dc.identifier.pid | jchong | - |
dc.identifier.researcherID | 7102639995 | - |
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