Computer Vision, Image Forensics, Image Processing,  Multispectral Imaging, Applied Deep Learning, and Machine Learning

Publications:

Journal Publications:
1. V. Rathi and P. Goyal, “Multispectral Image Demosaicking based on Novel Spectrally Localized Average Images”, IEEE Signal Processing Letters, vol. 29, pp. 449-453, 2022.

2. M. Gupta, V. Rathi and P. Goyal, “Adaptive and Progressive Multispectral Image Demosaicking”, IEEE Transactions on Computational Imaging, vol. 8, pp. 69-80, 2022.

3. V. Rathi and P. Goyal, “Generic Multispectral Demosaicking Based on Directional Interpolation”, IEEE Access, vol. 10, pp. 64715-64728, 2022.

4. V. Rathi and P. Goyal, “Multidirectional Weighted Interpolation based Generic Demosaicking for Single-Sensor Multispectral Imaging Systems”, Digital Signal Processing, vol. 129, pp. 103646, 2022.

5. V. Rathi and P. Goyal, “Generic Multispectral Demosaicking using Spectral Correlation between Spectral Bands and Pseudo-Panchromatic Image”, Signal Processing: Image Communication, pp. 116893, 2023.

6. V. Rathi, K. Rana, and P. Goyal, “Iterative spectral correlation based multispectral image demosaicking”, Signal, Image and Video Processing, vol. 18, pp. 7873–7886, 2024.

7. V. Rathi, A. Sharma, and A. K. Singh, “Multispectral images reconstruction using median filtering based spectral correlation”, Image and Vision Computing, vol 156, pp. 105462, 2025.

Conferecne Publications:

1. V. Rathi and P. Goyal, “Convolution Filter based Efficient Multispectral Image Demosaicking for Compact MSFAs”, IAPR endorsed 16th Intl. Conference VISAPP 2021, Austria. (Received Best Industrial Paper Award) [Core B]

2. V. Rathi, M. Gupta, P. Goyal, “A New Progressive Approach based on Spectral Difference for Single-Sensor Multispectral Imaging System”, IAPR endorsed 16th Intl. Conference VISAPP 2021, Austria. [Core B]

3. V. Rathi and P. Goyal, “Generic Multispectral Image Demosaicking Algorithm and New Performance Evaluation Metric”, 6th IAPR International Conference on Computer Vision & Image Processing (CVIP), 2022, IIT Ropar.

4. K. Rana, V. Rathi, and P. Goyal. “An Effective CNN-Based Method for Camera Model Identification in Privacy Preserving Settings.” 2023 IEEE International Conference on Image Processing Challenges and Workshops (ICIPCW), 2023, Malaysia. [Core B]

Google Scholar: Google Scholar Profile

M.Tech./Ph.D. Thesis Supervised:

M.Tech. Thesis Supervised: 2 (Ongoing)
PhD Thesis Supervised: 1 (Ongoing as a Co-supervisor)