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| 基于概率模型的高动态范围图像色调映射 |
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宋明黎1,2, 王慧琼1,2, 陈纯1,2, 叶秀清1,2, 顾伟康1,2
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1.浙江大学 计算机科学与技术学院,浙江 杭州 310027;2.香港理工大学 电子计算学系,香港
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| 摘要: |
| 提出了一种概率模型对HDR(high dynamic range)图像进行色调再生.分别对局部像素的色调能量分布与HDR/LDR(low dynamic range)间梯度变化约束建立概率统计模型,通过求解最大后验概率(maximum a posteriori,简称MAP)将整个色调映射过程转化为一个能量最小化问题.实验结果表明,所提出的基于概率模型的色调映射方法能够生成比以往方法具有更多视觉信息的LDR 图像,可用于高级图像编辑、显示设备开发等领域. |
| 关键词: 色调映射 高动态范围图像 低动态范围图像 概率模型 能量最小化 |
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| 基金项目:Supported by the China Postdoctoral Science Foundation under Grant No.20060401040 (中国博士后科学基金) |
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| Tone Mapping for High Dynamic Range Image Using a Probabilistic Model |
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SONG Ming-Li,WANG Hui-Qiong,CHEN Chun,YE Xiu-Qing,GU Wei-Kang
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| Abstract: |
| In this paper, a probabilistic model is proposed for high dynamic image’s tone reproduction. This novelmethod learns a distribution for local pixel energy of the tone. With the constraint of the gradient variation on theHDR image, an energy distribution is set up based on the similarity between the gradient variation on the HDR andthe LDR image. The probabilistic framework for the tone mapping operation is formulated into an energyminimization process by a Maximum A posteriori (MAP) deduction. It turns out that, the proposed methodgenerates LDR image with more visual information than the previous ones. Experimental results show that thisapproach is convincible and competitive, which can be applied in areas like advanced image editing, displayerdevelopment, etc. |
| Key words: tone mapping high dynamic range image low dynamic image probabilistic model energyminimization |
