DC Field | Value | Language |
---|---|---|
dc.contributor.author | Seo, Ja-Won | ko |
dc.contributor.author | Kim, Seong Dae | ko |
dc.date.accessioned | 2014-08-28T06:28:23Z | - |
dc.date.available | 2014-08-28T06:28:23Z | - |
dc.date.created | 2013-06-25 | - |
dc.date.created | 2013-06-25 | - |
dc.date.created | 2013-06-25 | - |
dc.date.issued | 2013-09-18 | - |
dc.identifier.citation | 2013 IEEE International Conference on Image Processing, pp.2279 - 2283 | - |
dc.identifier.uri | http://hdl.handle.net/10203/188065 | - |
dc.description.abstract | In this paper, we present a novel color-to-gray image conversion method which preserves both color and texture discriminabilities effectively. Unlike previous approaches, the proposed method does not require any user-specific parameters for conversion. Moreover, the computational complexity is low enough to be applied to real-time applications. These breakthroughs are achieved by applying the ELSSP (Eigenvalue-weighted Linear Sum of Subspace Projections) method, which is proposed in this paper for the color-to-gray image conversion. Experimental results demonstrate that the proposed method is superior to the state-of-the-art methods in terms of both conversion speed and image quality. | - |
dc.language | English | - |
dc.publisher | IEEE | - |
dc.title | NOVEL PCA-BASED COLOR-TO-GRAY IMAGE CONVERSION | - |
dc.type | Conference | - |
dc.identifier.wosid | 000351597602079 | - |
dc.identifier.scopusid | 2-s2.0-84897817915 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 2279 | - |
dc.citation.endingpage | 2283 | - |
dc.citation.publicationname | 2013 IEEE International Conference on Image Processing | - |
dc.identifier.conferencecountry | AT | - |
dc.identifier.conferencelocation | Melbourne, Australia | - |
dc.identifier.doi | 10.1109/ICIP.2013.6738470 | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Kim, Seong Dae | - |
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