Dr Jidesh P
vidwan id: 54629
Associate Professor, Mathematical and Computational Sciences
National Institute of Technology Karnataka
Expertise
- Computer Science Artificial Intelligence
Publications
Publications
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Scopus
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12
CrossRef
Citations
15
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1
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ACM
ISTE
CSI
IEEE
Bio
Computer Vision, Mathematical Imaging, Image Processing, AI, Deep/Machine Learning, Data Science
Personal Details
- Male
- Associate Professor , National Institute of Technology Karnataka
- P. O. Srinivasnagar, Mangalore
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Co-Authors (6)
National Institute of Technology Tiruchirappalli
National Institute of Technology Karnataka
National Institute of Technology Karnataka
National Institute of Technology Karnataka
National Institute of Technology Karnataka
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Scholarly Work
A study on non-linear ill-posed equations under weak conditions with emphasis on Parameter Identification Problem and Applications to Imaging
Funding Agency: SERB
Co-PI
2,200,000
2022 - Ongoing
Regularization models for image restoraton
Funding Agency: Department of Science and Technology, Govt. of India
PI
660,000
2022 - Ongoing
A Retinex Inspired Framework for Intensity Homogenization, Contrast Upgradation, and Restoration of Satellite and Aerial Images
Funding Agency: SERB
PI
2,300,000
2021 - 2024
Fractional Regularization Methods for Solving Inverse-Ill-posed Problems and Their Applications
Funding Agency: DAE
PI
450,000
2020 - 2023
Generalized framework for restoring medical and satellite images corrupted by data correlated noise
Funding Agency: SERB
PI
1,700,000
2017 - 2020
Retinal disorders detection and analysis from Fundus and Optical Coherence Tomography Images using Deep Learning Models
Perceptually inspired variational retinex methods for enhancing and restoring images
REGULARIZATION APPROACHES FOR RESTORING IMAGES CORRUPTED BY DATA CORRELATED NOISE MODELS
ARIATIONAL APPROACHES FOR DESPECKLING AND DEBLURRING OF IMAGES
A STUDY ON THE ROLE OF HYPER-PARAMETER OPTIMIZATION IN IMAGE CLASSIFICATION PROBLEMS USING AUTO-ML MODELS
Restoration and Enhancement of Aerial and Satellite images using Deep Learning Models
Restoration, Enhancement and Analysis of Lung Nodular Images for Prompt Detection of Abnormalities
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