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Ahlad Kumar
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2020 – today
- 2024
- [j11]Chintan Dave, Hetal Patel, Ahlad Kumar:
Unsupervised single image dehazing - A contour approach. J. Vis. Commun. Image Represent. 100: 104119 (2024) - [j10]Ahlad Kumar, Harsh Vardhan Singh, Vijeta Khare:
Tchebichef Transform Domain-Based Deep Learning Architecture for Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2182-2193 (2024) - 2023
- [j9]Zhiheng Huang, Palaiahnakote Shivakumara, Maryam Asadzadeh Kaljahi, Ahlad Kumar, Umapada Pal, Tong Lu, Michael Blumenstein:
Writer age estimation through handwriting. Multim. Tools Appl. 82(11): 16033-16055 (2023) - 2022
- [i5]Mihir Desai, Pratik Ghosh, Ahlad Kumar, Bhaskar Chaudhury:
Deep Learning Architecture Based Approach For 2D-Simulation of Microwave Plasma Interaction. CoRR abs/2206.01263 (2022) - [i4]Ahlad Kumar, Mantra Sanathra, Manish Khare, Vijeta Khare:
Orthogonal Transform based Generative Adversarial Network for Image Dehazing. CoRR abs/2206.01743 (2022) - 2021
- [j8]Subham Nagar, Ahlad Kumar, M. N. S. Swamy:
Orthogonal features-based EEG signal denoising using fractionally compressed autoencoder. Signal Process. 188: 108225 (2021) - [j7]Ahlad Kumar, M. Omair Ahmad, M. N. S. Swamy:
Image Denoising Based on Fractional Gradient Vector Flow and Overlapping Group Sparsity as Priors. IEEE Trans. Image Process. 30: 7527-7540 (2021) - [i3]Subham Nagar, Ahlad Kumar, M. N. S. Swamy:
Orthogonal Features-based EEG Signal Denoising using Fractionally Compressed AutoEncoder. CoRR abs/2102.08083 (2021) - [i2]Ahlad Kumar, Harsh Vardhan Singh:
Tchebichef Transform Domain-based Deep Learning Architecture for Image Super-resolution. CoRR abs/2102.10640 (2021) - [i1]Subham Nagar, Ahlad Kumar:
Orthogonal Features Based EEG Signals Denoising Using Fractional and Compressed One-Dimensional CNN AutoEncoder. CoRR abs/2104.08120 (2021) - 2020
- [c2]Lokesh Nandanwar, Palaiahnakote Shivakumara, Ahlad Kumar, Tong Lu, Umapada Pal, Daniel Lopresti:
A New Common Points Detection Method for Classification of 2D and 3D Texts in Video/Scene Images. DAS 2020: 512-528
2010 – 2019
- 2019
- [j6]Ahlad Kumar, M. Omair Ahmad, M. N. S. Swamy:
A Framework for Image Denoising Using First and Second Order Fractional Overlapping Group Sparsity (HF-OLGS) Regularizer. IEEE Access 7: 26200-26217 (2019) - [j5]Ahlad Kumar, M. Omair Ahmad, M. N. S. Swamy:
Tchebichef and Adaptive Steerable-Based Total Variation Model for Image Denoising. IEEE Trans. Image Process. 28(6): 2921-2935 (2019) - 2018
- [j4]Ahlad Kumar, Mohd Fikree Hassan, P. Raveendran:
Learning based restoration of Gaussian blurred images using weighted geometric moments and cascaded digital filters. Appl. Soft Comput. 63: 124-138 (2018) - [j3]Ahlad Kumar, M. Omair Ahmad, M. N. S. Swamy:
An efficient denoising framework using weighted overlapping group sparsity. Inf. Sci. 454-455: 292-311 (2018) - 2017
- [j2]Ahlad Kumar:
Deblurring of motion blurred images using histogram of oriented gradients and geometric moments. Signal Process. Image Commun. 55: 55-65 (2017) - 2016
- [c1]Vijeta Khare, Palaiahnakote Shivakumara, Ahlad Kumar, Chee Seng Chan, Tong Lu, Michael Blumenstein:
A quad tree based method for blurred and non-blurred video text frames classification through quality metrics. ICPR 2016: 4023-4028 - 2015
- [j1]Ahlad Kumar:
Complementary metal-oxide semiconductor implementation of digital filters for signal processing applications. IET Circuits Devices Syst. 9(4): 290-298 (2015)
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last updated on 2024-10-07 21:25 CEST by the dblp team
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