Auto White Balance Algorithm based on Secondary Light Source
碩士 === 國立交通大學 === 資訊學院資訊學程 === 103 === The general auto white balance algorithms , including the gray world theory, the maximum RGB value theory, the gamut mapping theory, white points estimates are based for white balance correction. When the environment has too few white points or white points are...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/14318329923276169108 |
| Summary: | 碩士 === 國立交通大學 === 資訊學院資訊學程 === 103 === The general auto white balance algorithms , including the gray world theory, the maximum RGB value theory, the gamut mapping theory, white points estimates are based for white balance correction. When the environment has too few white points or white points are not existed, the white balance result will be not good.
The purpose of this study is to do white balance correction with secondary light source when the environment has no white points. To take the original image in the environment and to take another image with secondary light source , through the analysis of two images to calculate the better white balance results.
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