Sumit Kumar

Orcid: 0000-0002-3390-2532

Affiliations:
  • Indian Institute of Technology Patna, Department of Electrical Engineering, India


According to our database1, Sumit Kumar authored at least 12 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of six.

Timeline

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Bibliography

2023
Image encryption based on fractional discrete cosine transform and DWT with interplane arrangements in dost domain.
IET Image Process., March, 2023

2020
An FPGA-based design for a real-time image denoising using approximated fractional integrator.
Multidimens. Syst. Signal Process., 2020

2019
A Novel Noise-Enhanced Back-Propagation Technique for Weak Signal Detection in Neyman-Pearson Framework.
Neural Process. Lett., 2019

Medical image encryption using fractional discrete cosine transform with chaotic function.
Medical Biol. Eng. Comput., 2019

FD-based detector for medical image watermarking.
IET Image Process., 2019

Noise-Induced Resonance and Particle Swarm Optimization-Based Weak Signal Detection.
Circuits Syst. Signal Process., 2019

Weak Signal Detection Using Stochastic Resonance with Approximated Fractional Integrator.
Circuits Syst. Signal Process., 2019

Analysis, Diagnosis and Correction of Rain Streaks.
Proceedings of the TENCON 2019, 2019

2018
A Robust Sharing Based Encryption Method in Singular Value Decomposition Domain Using Fractional Fourier Transform.
Proceedings of the 8th International Symposium on Embedded Computing and System Design, 2018

A Fractional Integrator Based Novel Detector for Weak Signal Detection with Watermark Application.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2016
Adaptive fractional differential approach to enhance underwater images.
Proceedings of the Sixth International Symposium on Embedded Computing and System Design, 2016

Enhancement of high dynamic range images using variational calculus regularizer with stochastic resonance.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016


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