Nonsubsampled contourlet transform based tone-mapping operator to optimize the dynamic range of diatom shells,Microscopy Research and Technique

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Nonsubsampled contourlet transform based tone-mapping operator to optimize the dynamic range of diatom shells
Microscopy Research and Technique ( IF 2.0 ) Pub Date : 2021-03-29 , DOI: 10.1002/jemt.23759
Harbinder Singh ₁ , Gabriel Cristobal ₂ , Saul Blanco ₃ , Gloria Bueno ₄ , Carlos Sanchez _{2,

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Affiliation

The diatoms have intricate silica-based cell walls with multi-scale patterns. High dynamic range (HDR) imaging is widely used to examine the three-dimensional structure of diatoms for recovering the wide range of contrast and brightness. In order to construct a HDR image of a diatom, multiple images of the specimen are taken at different exposure settings with bright or dark field microscopy. In the proposed method, multi-scale decomposition based on nonsubsampled contourlet transform is adopted to separate the structured and detailed information of the HDR image. And then, by processing all layers independently, the tone-mapped image is reconstructed to retain details present in the dark and light regions. Quantitative and qualitative analysis is performed in order to assess the performance of the proposed and seven existing tone-mapping operators. In analysis, the study indicates that the proposed method enhances the diatom frustules to extract more details.

中文翻译：

基于非下采样轮廓波变换的色调映射算子优化硅藻壳动态范围

硅藻具有复杂的二氧化硅基细胞壁，具有多尺度图案。高动态范围 (HDR) 成像广泛用于检查硅藻的三维结构，以恢复大范围的对比度和亮度。为了构建硅藻的 HDR 图像，使用明场或暗场显微镜在不同曝光设置下拍摄多个样本图像。该方法采用基于非下采样Contourlet变换的多尺度分解来分离HDR图像的结构化和详细信息。然后，通过独立处理所有层，重建色调映射图像以保留暗区和亮区中存在的细节。进行定量和定性分析以评估所提出的和七个现有色调映射算子的性能。在分析中，研究表明所提出的方法增强了硅藻壳以提取更多细节。

更新日期：2021-03-29

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