色调映射
轮廓波
计算机科学
高动态范围
人工智能
亮度
硅藻
计算机视觉
比例(比率)
对比度(视觉)
航程(航空)
模式识别(心理学)
图像(数学)
动态范围
光学
地质学
材料科学
小波变换
物理
地理
地图学
小波
海洋学
复合材料
作者
Harbinder Singh,Gabriel Cristóbal,Saúl Blanco,Gloria Bueno,Carlos Sánchez
摘要
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.
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