【摘 要】
：
针对目前高动态范围(HDR,high dynamic range)图像色调映射算法存在效率低、效果欠佳的问题,提出了一种基于色貌模型和分层模型的色调映射算法。首先,通过将高斯核离散化的方法加快双边滤波;其次,在RGB空间阶调压缩解决偏色问题;最后,对Stevens效应下的细节层增强效果进行调整并对色彩饱和度增强,使映射后的图像细节丰富,更加逼真。对比经典算法,不同场景的大量实验结果显示,主观质量和
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针对目前高动态范围(HDR,high dynamic range)图像色调映射算法存在效率低、效果欠佳的问题,提出了一种基于色貌模型和分层模型的色调映射算法。首先,通过将高斯核离散化的方法加快双边滤波;其次,在RGB空间阶调压缩解决偏色问题;最后,对Stevens效应下的细节层增强效果进行调整并对色彩饱和度增强,使映射后的图像细节丰富,更加逼真。对比经典算法,不同场景的大量实验结果显示,主观质量和客观指标均有所提高,与原始算法相比,本算法计算效率提高了6倍以上,图像的熵平均提高0.046,清晰度平均
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