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A Study on the Illumination Chromaticity Estimation and the Chromatic Adaptation to Color Images for the Corresponding Color Reproduction

彩色图像的照明色度估计和色彩适应以实现相应的色彩再现的研究

基本信息

批准号：
23500223
负责人：
TAJIMA JOHJI
金额：
$ 1.58万
依托单位：
Nagoya City University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2011
资助国家：
日本
起止时间：
2011 至 2013
项目状态：
已结题

项目摘要

The estimation of the illumination chromaticity from a color image was studied. This study is based on the dichromatic reflection model. At first, it was verified that the reflection model holds well for plastics. On that condition, the chromaticity of a one-color object is distributed on a straight line, and the lines corresponding to the multiple objects with various colors cross each other at a single point, which shows the illumination chromaticity.Based on the theory, the method, in which the calibration of the gamma-characteristic of a digital camera and the estimation of the illumination chromaticity are simultaneously achieved, was developed. The raw mode color images from single-lens reflex cameras and their manually segmented images are used for the experiment. The gamma-characteristics of each camera was approximated by hyperbolic functions. By optimizing the parameters for the functions, the accuracy for the illumination chromaticity estimation could be improved.

研究了彩色图像中光照色度的估计问题。本研究是基于二色反射模型。首先验证了反射模型对塑料的适用性。在此基础上，将单色物体的色度分布在一条直线上，而多个不同颜色物体对应的直线相交于一点，即表示照明色度，提出了一种同时实现数码相机伽马特性标定和照明色度估计的方法。实验中使用的是单反相机的原始彩色图像及其人工分割图像。每个摄像机的伽马特性由双曲函数近似。通过优化函数的参数，可以提高光照色度估计的精度。