A Study on the Illuminant Estimation in a Natural Image

• Main Authors: Jr-yi Chen, 陳志沂
• Other Authors: Tzren-Ru Chou
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/3dsd5y

碩士 === 國立臺灣師範大學 === 圖文傳播學系 === 97 === The color image is the result of interaction among the reflectance of object, the spectra of illuminant incident on the scene and the eye. The change of environmental light source leads to the object show a different color during the process of capture. If we want to present true color, we must control environmental light source. The goals of the study focus on using the conception of color technology and method of statistics to estimate the illuminant spectra of environment, and rebuilding the original color image. In this study, we use Principal Component Analysis（PCA） and Support Vector Regression （SVR） to rebuild the spectra of daylight. finally we will assess the effect of two approach in spectra rebuilding. We hope through experimental results to improve the accuracy of image display. These results will be applied to color adjustment of synthesis image, digital archives, medical imaging and other digital image post-production process to make it be more natural.