Homomorphically Rectified Tile-wise Equalized Adaptive Gamma Correction for Histopathological Color Image Enhancement

Rangu Silpasai, Himanshu Singh, Anil Kumar, L. Balyan
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引用次数: 1

Abstract

In this paper, an efficient approach for quality improvement of histopathology slides’ images is suggested, along with proper luminance restoration and color-correction. Here, the extracted luminance channel is initially tile-wise equalized and an efficiently clipped image is acquired for evaluation of the required gamma value set for imparting adaptive boosting for the proper harvesting of the entire intensity span. The core contribution is to harvest the highly adaptive, pixel-wise, homomorphic color-correction ratio over the entire three-dimensional color image. In addition, this correction is introduced by intensity level-wise gamma correction. Again, it can be understood that the corresponding gamma value set is derived from a tile-wise uniformly equalized channel. Hence, this multi-level adaptiveness leads to a new strategy to attain the required objective. Rigorous experimentation is executed by employing the performance evaluation through standard quality measures and comparison with pre-existing recently proposed and highly appreciated quality enhancement approaches.
组织病理彩色图像增强的同态校正平铺均匀自适应伽玛校正
本文提出了一种提高组织病理学切片图像质量的有效方法,以及适当的亮度恢复和色彩校正。在这里,提取的亮度通道最初被平铺均衡,并获得有效的剪切图像,以评估所需的伽马值集,从而为整个强度跨度的适当收获赋予自适应增强。其核心贡献是在整个三维彩色图像上获得高度自适应、像素化、同态的色彩校正比率。此外,这种校正是通过强度级伽玛校正引入的。同样,可以理解的是,相应的伽马值集是从平铺均匀均衡通道中导出的。因此,这种多层次的适应性导致了一种新的策略来达到所需的目标。通过标准的质量措施和与现有的、最近提出的和备受赞赏的质量提高方法的比较,采用性能评估进行了严格的实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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