Research on Dot Gain Compensation Curve Algorithm Model

Abstract:

To make the dot gain compensation curve more precise, this paper analyzes the methods already used and then propose a new method. We implement this new method and the old ones respectively through MATLAB, and get their dot gain compensation curves. At the same time, the average error and variance were counted to test their precision. The results show that the new method can apparently improve the precision and reduce the error. The average error of the normal method is 2.96% while it is reduce to 1.56% by the new method.

• Periodical: Applied Mechanics and Materials (Volume 200)
• Pages: 627-631
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.200.627
• Online since: October 2012
• Authors: Li Li Si, Feng Xian Sang, Zhen Liu
• Keywords: Colorimetry, Coordinate Conversion Algorithm, Dot Gain Compensation Curve, Exponential Fitting

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