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New segmentation-based tone mapping algorithm for high dynamic range image

机译:基于分割的高动态范围图像色调映射算法

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The traditional tone mapping algorithm for the display of high dynamic range (HDR) image has the drawback of losing the impression of brightness, contrast and color information. To overcome this phenomenon, we propose a new tone mapping algorithm based on dividing the image into different exposure regions in this paper. Firstly, the over-exposure region is determined using the Local Binary Pattern information of HDR image. Then, based on the peak and average gray of the histogram, the under-exposure and normal-exposure region of HDR image are selected separately. Finally, the different exposure regions are mapped by differentiated tone mapping methods to get the final result. The experiment results show that the proposed algorithm achieve the better performance both in visual quality and objective contrast criterion than other algorithms.
机译:用于显示高动态范围(HDR)图像的传统色调映射算法具有丢失亮度,对比度和颜色信息的印象的缺点。为了克服这种现象,本文提出了一种新的色调映射算法,该算法基于将图像划分为不同的曝光区域。首先,使用HDR图像的局部二进制图案信息来确定过度曝光区域。然后,根据直方图的峰值和平均灰度,分别选择HDR图像的曝光不足和正常曝光区域。最后,通过不同的色调映射方法对不同的曝光区域进行映射,以获得最终结果。实验结果表明,与其他算法相比,该算法在视觉质量和客观对比度判据上均具有较好的性能。

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