Arvind Kumar

About

Arvind Kumar completed his B. Sc. (Maths), B. Tech., M. E., and Ph D. from Rohilkhand University Bareilly, University of Allahabad (Prayagraj), MNNIT Prayagraj, and NIT Kurukshetra respectively. His current area of interest include Wireless Communications, OFDM/MIMO OFDM Systems, Optical Communications, Signal and Image Processing.

Employment

• National Institute of Technology Kurukshetra Associate Professor
  2020 - Present
• National Institute of Technology, Kurukshetra
  2001 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (15)

• A Novel Three-Stage Dehazing Model Using Improved Auto-Color Transfer Method, Adaptive Dehazing, and Adaptive Contrast Enhancement
  International Journal of Image and Graphics 2026 DOI: 10.1142/S0219467827500021
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• Hazy Input Upgradation and Multi-Feature Fusion-based Multi-Scale Residual Neural Network for Haze Removal
  Journal of Circuits, Systems and Computers 2026 DOI: 10.1142/S0218126625504638
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• A Single-Image Dehazing Approach Using Brightness Enhancement and Double Transmission Maps
  2025 DOI: 10.1007/978-981-97-1943-3_33
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• A Fast Image Dehazing Using Encoder–Decoder Deep Neural Network
  2024 DOI: 10.1007/978-981-97-0562-7_47
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• A Very Deep Adaptive Convolutional Neural Network (VDACNN) for Image Dehazing
  2024 DOI: 10.1007/978-3-031-48781-1_4
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• Correction to: A Very Deep Adaptive Convolutional Neural Network (VDACNN) for Image Dehazing
  2024 DOI: 10.1007/978-3-031-48781-1_30
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• A generic post-processing framework for image dehazing
  Signal, Image and Video Processing 2023 DOI: 10.1007/s11760-023-02540-z
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• High gain and enhanced isolation MIMO antenna with FSS and metasurface
  Optik 2023 DOI: 10.1016/j.ijleo.2023.170982
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• Fast Adaptive Image Dehazing and Details Enhancement of Hazy Images
  2023 DOI: 10.1007/978-981-19-8742-7_18
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• Region-based adaptive single image dehazing, detail enhancement and pre-processing using auto-colour transfer method
  Signal Processing: Image Communication 2022 DOI: 10.1016/j.image.2021.116532
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