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Color Correction Using Polynomial Regression in Film Scanner  

김태현 (텔레칩스)
백중환 (한국항공대학교 전자ㆍ정보통신ㆍ컴퓨터공학부)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.40, no.1, 2003 , pp. 43-50 More about this Journal
Abstract
Today, the demand of image acquisition systems grows as the multimedia applications go on increasing greatly. Among the systems, film scanner is one of the systems, which can acquire high quality and high resolution images. However due to the nonlinear characteristic of the light source and sensor, colors of the original film image do not correspond to the colors of the scanned image. Therefore color correction mr the scanned digital image is essential in the film scanner. In this paper, polynomial regression method is applied for the color correction to CIE $L^{*}$ $a^{*}$ $b^{*}$ color model data converted from RGB color model data. A1so a film scanner hardware with 12 bit color resolution for each R, G, B and 2400 dpi was implemented by using TMS320C32 DSP chip and high resolution line sensor. An experimental result shows that the average color difference ($\Delta$ $E^{*}$$_{ab}$ ) is reduced from13.48 to 8.46.6.6.6.6.
Keywords
Color Correction; film Scanner; Polynomial Regression; Color Model; DSP;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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