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Publication Type : Conference Paper
Source : 2nd IEEE International Conference on Information and Communication Technology(CICT), Jabalpur, India, pp. 1-6, 2018
Campus : Coimbatore
School : School of Engineering
Department : Electronics and Communication
Year : 2018
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.
Cite this Research Publication : R. Silpasai, H. Singh, A. Kumar and L. K. Balyan,“Homomorphically Rectified Tile-wise Equalized Adaptive Gamma Correction for Histopathological Color Image Enhancement,” 2nd IEEE International Conference on Information and Communication Technology(CICT), Jabalpur, India, pp. 1-6, 2018