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ORCIDVeerakumar Thangaraj
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- affiliation: National Institute of Technology, Department of Electronics and Communication Engineering, Goa, India
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2020 – today
- 2024
[b1]Sankaralingam Esakkirajan, Thangaraj Veerakumar, Badri N. Subudhi:
Digital Signal Processing - Illustration Using Python. Springer 2024, ISBN 978-981-99-6751-3, pp. 1-523- [j25]Manoj Kumar Panda
, Badri Narayan Subudhi, Thangaraj Veerakumar, Vinit Jakhetiya:
Modified ResNet-152 Network With Hybrid Pyramidal Pooling for Local Change Detection. IEEE Trans. Artif. Intell. 5(4): 1599-1612 (2024) - [j24]Manoj Kumar Panda, Veerakumar Thangaraj, Badri Narayan Subudhi, Vinit Jakhetiya:
Bayesian's probabilistic strategy for feature fusion from visible and infrared images. Vis. Comput. 40(6): 4221-4233 (2024) - 2023
- [j23]Tushar Rasal, Thangaraj Veerakumar, Badri Narayan Subudhi, Sankaralingam Esakkirajan:
Segmentation of gastric cancer from microscopic biopsy images using deep learning approach. Biomed. Signal Process. Control. 86(Part B): 105250 (2023) - [j22]Tushar Rasal, Thangaraj Veerakumar, Badri Narayan Subudhi, Sankaralingam Esakkirajan:
Fluorescence microscopy image noise reduction using IEMD-based adaptive thresholding approach. Signal Image Video Process. 17(1): 237-245 (2023) - [j21]Badri Narayan Subudhi, Manoj Kumar Panda, Thangaraj Veerakumar, Vinit Jakhetiya, Sankaralingam Esakkirajan:
Kernel-Induced Possibilistic Fuzzy Associate Background Subtraction for Video Scene. IEEE Trans. Comput. Soc. Syst. 10(3): 1314-1325 (2023) - [p2]Thangaraj Veerakumar, Badri Narayan Subudhi, K. Sandeep Kumar, Nikhil O. F. Da Rocha, Sankaralingam Esakkirajan:
Shot Boundary Detection from Lecture Video Sequences Using Histogram of Oriented Gradients and Radiometric Correlation. Smart Computer Vision 2023: 35-59 - [p1]Badri Narayan Subudhi, Thangaraj Veerakumar, Sai Rakshit Harathas, Rohan Prabhudesai, Venkatanareshbabu Kuppili, Vinit Jakhetiya:
Deep Learning in Autoencoder Framework and Shape Prior for Hand Gesture Recognition. Smart Computer Vision 2023: 223-242 - 2022
- [j20]Manoj Kumar Panda, Akhilesh Sharma, Vatsalya Bajpai, Badri Narayan Subudhi, Veerakumar Thangaraj, Vinit Jakhetiya:
Encoder and decoder network with ResNet-50 and global average feature pooling for local change detection. Comput. Vis. Image Underst. 222: 103501 (2022) - [j19]Deepak Kumar Rout, Badri Narayan Subudhi, Thangaraj Veerakumar, Santanu Chaudhury, John J. Soraghan:
Multiresolution visual enhancement of hazy underwater scene. Multim. Tools Appl. 81(23): 32907-32936 (2022) - [j18]Pranab Gajanan Bhat, Badri Narayan Subudhi, Thangaraj Veerakumar, Sankaralingam Esakkirajan:
A Fully Automatic Feature-Based Real-Time Traffic Surveillance System Using Data Association in the Probabilistic Framework. IEEE Trans. Intell. Transp. Syst. 23(8): 11088-11097 (2022) - [c5]Manoj Kumar Panda, Badri Narayan Subudhi, Thierry Bouwmans, Vinit Jakheytiya, Thangaraj Veerakumar:
An End to End Encoder-Decoder Network with Multi-scale Feature Pulling for Detecting Local Changes From Video Scene. AVSS 2022: 1-8 - [c4]Manoj Kumar Panda, Badri N. Subudhi, Thangaraj Veerakumar, Vinit Jakhetiya:
Integration of Bi-dimensional Empirical Mode Decomposition With Two Streams Deep Learning Network for Infrared and Visible Image Fusion. EUSIPCO 2022: 493-497 - 2021
- [j17]Deepa Natarajan, Esakkirajan Sankaralingam, Keerthiveena Balraj, Veerakumar Thangaraj:
Automated segmentation algorithm with deep learning framework for early detection of glaucoma. Concurr. Comput. Pract. Exp. 33(10) (2021) - [j16]Amartya Hatua, Badri Narayan Subudhi, Veerakumar Thangaraj, Ashish Ghosh:
Early detection of diabetic retinopathy from big data in hadoop framework. Displays 70: 102061 (2021) - [j15]Balraj Keerthiveena, Sankaralingam Esakkirajan, Badri Narayan Subudhi, Thangaraj Veerakumar:
A hybrid BPSO-SVM for feature selection and classification of ocular health. IET Image Process. 15(2): 542-555 (2021) - [j14]Tushar Rasal, Thangaraj Veerakumar, Badri Narayan Subudhi, Sankaralingam Esakkirajan:
Mixed Poisson Gaussian noise reduction in fluorescence microscopy images using modified structure of wavelet transform. IET Image Process. 15(7): 1383-1398 (2021) - 2020
- [j13]Badri Narayan Subudhi, Thangaraj Veerakumar, Esakkirajan Sankaralingam, Santanu Chaudhury:
Automatic lecture video skimming using shot categorization and contrast based features. Expert Syst. Appl. 149: 113341 (2020) - [j12]Deepak Kumar Rout, Badri Narayan Subudhi, Thangaraj Veerakumar, Santanu Chaudhury:
Walsh-Hadamard-Kernel-Based Features in Particle Filter Framework for Underwater Object Tracking. IEEE Trans. Ind. Informatics 16(9): 5712-5722 (2020) - [j11]Badri Narayan Subudhi, Thangaraj Veerakumar, Esakkirajan Sankaralingam, Ashish Ghosh:
Kernelized Fuzzy Modal Variation for Local Change Detection From Video Scenes. IEEE Trans. Multim. 22(4): 912-920 (2020) - [c3]Manoj Kumar Panda, Badri Narayan Subudhi, Thangaraj Veerakumar, Manoj Singh Gaur:
Edge Preserving Image Fusion using Intensity Variation Approach. TENCON 2020: 251-256
2010 – 2019
- 2019
- [j10]Thangaraj Veerakumar, Badri Narayan Subudhi, Esakkirajan Sankaralingam, Prasanta Kumar Pradhan:
Iterative Adaptive Unsymmetric Trimmed Shock Filter for High-Density Salt-and-Pepper Noise Removal. Circuits Syst. Signal Process. 38(6): 2630-2652 (2019) - [j9]Thangaraj Veerakumar, Badri Narayan Subudhi, Esakkirajan Sankaralingam:
Empirical mode decomposition and adaptive bilateral filter approach for impulse noise removal. Expert Syst. Appl. 121: 18-27 (2019) - [j8]Vimalraj Chinnathambi, Esakkirajan Sankaralingam, Veerakumar Thangaraj, Sreevidya Padma:
Despeckling of ultrasound images using directionally decimated wavelet packets with adaptive clustering. IET Image Process. 13(1): 206-215 (2019) - 2018
- [j7]Deepak Kumar Rout, Badri Narayan Subudhi, Thangaraj Veerakumar, Santanu Chaudhury:
Spatio-contextual Gaussian mixture model for local change detection in underwater video. Expert Syst. Appl. 97: 117-136 (2018) - 2017
- [j6]Thangaraj Veerakumar, Ravi Prasad K. Jagannath, Badri Narayan Subudhi, Esakkirajan Sankaralingam:
Impulse Noise Removal Using Adaptive Radial Basis Function Interpolation. Circuits Syst. Signal Process. 36(3): 1192-1223 (2017) - [j5]Veerakumar Thangaraj, Badri Narayan Subudhi, Esakkirajan Sankaralingam, Prasanta Kumar Pradhan:
Context model based edge preservation filter for impulse noise removal. Expert Syst. Appl. 88: 29-44 (2017) - 2016
- [j4]Vimalraj Chinnathambi, Esakkirajan Sankaralingam, Veerakumar Thangaraj, Sreevidya Padma:
Direction sensitive wavelet packet for despeckling of ultrasound images. IET Comput. Vis. 10(7): 746-757 (2016) - 2014
- [j3]Veerakumar Thangaraj, Esakkirajan Sankaralingam, Ila Vennila:
Recursive cubic spline interpolation filter approach for the removal of high density salt-and-pepper noise. Signal Image Video Process. 8(1): 159-168 (2014) - 2011
- [j2]Esakkirajan Sankaralingam, Veerakumar Thangaraj, A. N. Subramanyam, C. H. PremChand:
Removal of High Density Salt and Pepper Noise Through Modified Decision Based Unsymmetric Trimmed Median Filter. IEEE Signal Process. Lett. 18(5): 287-290 (2011)
2000 – 2009
- 2009
- [j1]Esakkirajan Sankaralingam, Veerakumar Thangaraj, Senthil Vijayamani, Navaneethan Palaniswamy:
Video compression using multiwavelet and multistage vector quantization. Int. Arab J. Inf. Technol. 6(4): 385-393 (2009) - [c2]Esakkirajan Sankaralingam, Veerakumar Thangaraj, P. Navaneethan:
Best Basis Selection Using Singular Value Decomposition. ICAPR 2009: 65-68 - 2008
- [c1]Sankaralingam Esakkirajan, Thangaraj Veerakumar, N. Malmurugan, P. Navaneethan:
Image Compression using Adaptive Wavelet Packet and Multistage Vector Quantization. ICIIS 2008: 1-4
Coauthor Index
aka: Sankaralingam Esakkirajan
aka: Badri Narayan Subudhi
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