Tone mapping operators are designed to display high dynamic range (HDR) images on low dynamic range devices. Clustering-based content and color adaptive tone mapping algorithm aims to maintain the color information and local texture. However, fine details can still be lost in low dynamic range images. This paper presents an effective way of clustering-based content and color adaptive tone mapping algorithm by using fast search and find of density peak clustering. The suggested clustering method reduces the loss of local structure and allows better adaption of color in images. The experiments are carried out to evaluate the effectiveness and performance of proposed technique with state-of-the-art clustering techniques. The objective and subjective evaluation results reveal that fast search and find of density peak preserves more textural information. Therefore, it is most suitable to be used for clustering-based content and color adaptive tone mapping algorithm.

中文翻译：

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用于内容和颜色自适应色调映射的基于智能空间密度的聚类的个人通信技术

色调映射运算符旨在在低动态范围设备上显示高动态范围（HDR）图像。基于聚类的内容和颜色自适应色调映射算法旨在维护颜色信息和局部纹理。但是，在低动态范围的图像中，细节仍然可能丢失。通过对密度峰值聚类的快速搜索和发现，提出了一种基于聚类的内容和颜色自适应色调映射算法的有效方法。建议的聚类方法可以减少局部结构的损失，并可以更好地适应图像中的颜色。进行了实验，以评估使用最新聚类技术提出的技术的有效性和性能。客观和主观的评估结果表明，密度峰的快速搜索和发现保留了更多的纹理信息。因此，它最适合用于基于聚类的内容和颜色自适应色调映射算法。