计算机与现代化 ›› 2013, Vol. 1 ›› Issue (9): 102-104,.doi: 10.3969/j.issn.1006-2475.2013.09.025
• 图像处理 • 上一篇 下一篇
张 涛
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ZHANG Tao
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摘要： 提出一种基于Bayer模式图像的增强GWR色彩还原和自动白平衡算法，直接利用原始图像数据进行白平衡计算，避免传统算法无法用于不同色彩复杂场景的缺点，使之能适用于各种色彩场景，降低软件整体的复杂度。主观判断和客观计算表明增强算法色彩还原效果良好。
关键词: 光电经纬仪, Bayer模式, 色彩还原, 自动白平衡
Abstract: An enhanced GWR color reversion and auto white balance algorithm based on Bayer mode image is proposed. The original image data is used to calculate the parameters of white balance. The disadvantage of traditional algorithm in different color complexity scenes is avoided. The algorithm can be used in most color scenes and the complexity of software is reduced. Subjective judgement and objective calculation show that better color reversion effect is got by the algorithm.
Key words: optical-electronic theodolite, Bayer mode, color reversion, auto white balance
中图分类号:
TP391
张涛. 基于Bayer模式的增强GWR图像色彩还原算法[J]. 计算机与现代化, 2013, 1(9): 102-104,.
ZHANG Tao. Enhanced GWR Image Color Reversion Method Based on Bayer Mode[J]. Computer and Modernization, 2013, 1(9): 102-104,.
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链接本文: http://www.c-a-m.org.cn/CN/10.3969/j.issn.1006-2475.2013.09.025
http://www.c-a-m.org.cn/CN/Y2013/V1/I9/102
