27 Papers
81 Citations
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. Previous affiliations of Nihar Kumar Mahato include Indian Institute of Technology Kharagpur.
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Papers
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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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.
100
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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Parameter adaptive unit-linking dual-channel PCNN based infrared and visible image fusion
TL;DR: In this paper , a new parameter adaptive unit-linking dual-channel PCNN model was used to implement a novel fusion algorithm in the non-subsampled contourlet transform (NSCT) domain for the integration of infrared and visible images.
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