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Nihar Kumar Mahato
Researcher at Indian Institute of Information Technology, Design and Manufacturing, Jabalpur
Publications - 25
Citations - 379
Nihar Kumar Mahato is an academic researcher from Indian Institute of Information Technology, Design and Manufacturing, Jabalpur. The author has contributed to research in topics: Banach space & Fractal dimension. The author has an hindex of 9, co-authored 22 publications receiving 191 citations. Previous affiliations of Nihar Kumar Mahato include Indian Institute of Technology Kharagpur.
Papers
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MRI and SPECT Image Fusion Using a Weighted Parameter Adaptive Dual Channel PCNN
TL;DR: Experimental results demonstrate that the proposed method outperforms some of the state-of-the-art methods in terms of both visual quality and objective assessment.
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Differential box counting methods for estimating fractal dimension of gray-scale images: A survey
TL;DR: The status of differential box counting methods is concluded, some of the state-of-the-art methods have been implemented and the possible future directions are explored.
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Fractal dimension based parameter adaptive dual channel PCNN for multi-focus image fusion
TL;DR: A transform domain multi-focus image fusion method based on a novel parameter adaptive DCPCNN (PA-DCPCNN) model, in which the parameters are adaptively estimated using the inputs, is proposed.
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Quantitative texture measurement of gray-scale images: Fractal dimension using an improved differential box counting method
TL;DR: This work introduces a gray-level shift-invariant DBC method, which uses a new formula for counting boxes along z -direction to solve over-counting of boxes, a partitioning-shifting-partitioning mechanism to fix under-counts, a smaller box-height to enhance the FD value and robust least squares regression to estimate a line accurately.
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An Approximated Box Height for Differential-Box-Counting Method to Estimate Fractal Dimensions of Gray-Scale Images
Chinmaya Panigrahy,Angel Garcia-Pedrero,Ayan Seal,Dionisio Rodríguez-Esparragón,Nihar Kumar Mahato,Consuelo Gonzalo-Martin +5 more
TL;DR: It has been proved experimentally that the proposed box height allow to improve the performance of DBC, Shifting D BC, Improved DBC and Improved Triangle DBC which are closer to actual FD values of the simulated FBM images.