Author: Xinwu, Li

Source: Sensor Letters, Volume 9, Number 5, October 2011 , pp. 2109-2113(5)

Publisher: American Scientific Publishers

Abstract:

Color correction for color sensor of scanner is one of the key techniques in color image reproduction in information optics and computer multimedia processing. A New color correction model for is presented based on analyzing color rendering principle of color scanner. First, color errors resources are analyzed from the corner of light transmission efficiency of scanner and optical effects of scanning objects; Second, the paper takes standard color target for experimental sample and substitutes color blocks in color shade district for complete color space, which solves the difficulties of selecting experimental color target. Third, data collecting method is introduced and some data bases for deducing the model are created. Then, the color management model based on neural network with Fourier basis functions is deduced and analyzed and some methods are adopted to speed up model convergence and to simplify model structure. Finally the experimental results show that the model can improve scanner color management accuracy and can be used in its color management practically.

Keywords: COLOR MANAGEMENT; NEURAL NETWORK; FOURIER BASIS FUNCTIONS

Document Type: Research article

DOI: http://dx.doi.org/10.1166/sl.2011.1565

Publication date: 2011-10-01

More about this publication?

• The growing interest and activity in the field of sensor technologies requires a forum for rapid dissemination of important results: Sensor Letters is that forum. Sensor Letters offers scientists, engineers and medical experts timely, peer-reviewed research on sensor science and technology of the highest quality. Sensor Letters publish original rapid communications, full papers and timely state-of-the-art reviews encompassing the fundamental and applied research on sensor science and technology in all fields of science, engineering, and medicine. Highest priority will be given to short communications reporting important new scientific and technological findings.
• Editorial Board
• Information for Authors
• Subscribe to this Title
• Terms & Conditions
• ingentaconnect is not responsible for the content or availability of external websites

Related content

• In this: publication
• By this: publisher
• In this Subject: Technology
• By this author: Xinwu, Li

Website © Publishing Technology. Article copyright remains with the publisher, society or author(s) as specified within the article.

• Terms and conditions
• Privacy policy
• Information for advertisers