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Luma-chroma separated processing for fast flow-based image abstraction on mobile devices.

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Titel: Luma-chroma separated processing for fast flow-based image abstraction on mobile devices.
Autoren: Jin-Woo Kim1, Se-Weon Jeon1, Tack-Don Han1 hantack@msl.yonsei.ac.kr
Quelle: Electronics Letters (Wiley-Blackwell). 11/20/2014, Vol. 50 Issue 24, p1838-1839. 2p. 1 Color Photograph, 2 Diagrams, 1 Chart.
Schlagwörter: *TELECOMMUNICATION, PROCESSING (Computer program language), ABSTRACT thought, LUMINANCE (Photometry), IMAGE processing
Abstract: A fast method to generate cartoon-style images is presented. The cartoon-style image construction procedure consists of two processes: outline detection followed by colour filling. The outline detection operation is sensitive to image luminance (luma) and the colour-filling operation is sensitive to chrominance (chroma). Using this feature, a fast method is proposed for generating cartoon-style images based on luminance-chrominance (luma-chroma) separated processing. This method decreases the number of operations required for colour filling using a UV chroma component extracted from the YUV colour space. This approach is suitable for camera image formats and mobile SIMD units. Experimental tests demonstrate that the proposed method exhibits 221% faster processing time as compared to naïve methods. Moreover, the mean absolute error between naïve methods and the proposed method is < 1%. [ABSTRACT FROM AUTHOR]
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Abstract:A fast method to generate cartoon-style images is presented. The cartoon-style image construction procedure consists of two processes: outline detection followed by colour filling. The outline detection operation is sensitive to image luminance (luma) and the colour-filling operation is sensitive to chrominance (chroma). Using this feature, a fast method is proposed for generating cartoon-style images based on luminance-chrominance (luma-chroma) separated processing. This method decreases the number of operations required for colour filling using a UV chroma component extracted from the YUV colour space. This approach is suitable for camera image formats and mobile SIMD units. Experimental tests demonstrate that the proposed method exhibits 221% faster processing time as compared to naïve methods. Moreover, the mean absolute error between naïve methods and the proposed method is < 1%. [ABSTRACT FROM AUTHOR]
ISSN:00135194
DOI:10.1049/el.2014.2858