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4,500원

Most important step for the color matching in scanner is the color coordinate transformation from the scanner RGB space to device independent uniform color space. A variety of color calibration technologies have been developed for input device. Linear or nonlinear matrices have been conveniently applied to correct the color filter's mismatch with color matching function in scanners. The color matching accuracy is expected to be further improved when the nonlinear matrices are optimized into subdivided smaller color spaces than in single matrix of the entire color space. This article proposed the scanner calibration method using subspace division regression analysis and it were compared with conventional method.

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A Divided Regression Analysis for Big Data SCOPUS

Sunghae Jun, Seung-Joo Lee, Jea-Bok Ryu

보안공학연구지원센터(IJSEIA) International Journal of Software Engineering and Its Applications Vol.9 No.5 2015.05 pp.21-32

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

 
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