Core Areas (more...): Low Level Computer Vision, Inverse Problems, Model and Data Driven Approaches

Application Domains: Remote Sensing, Biomedical Imaging

Peer-Reviewed Journals

1. Aetesam, Hazique, and Suman Kumar Maji. "Deep variational magnetic resonance image denoising via network conditioning." Biomedical Signal Processing and Control 95 (2024): 106452. (Online)

2. Aetesam, Hazique, Suman Kumar Maji and V. B. Surya Prasath, "Denoising Hyperspectral Images Using Noise Gradient and Dual Priors Under Mixed Noise Conditions" in CAAI Transactions on Intelligence Technology (Accepted).

3. Aetesam, Hazique, Abdul Wasi and Sonal Sharma, "CompoHyDen: Hyperspectral Image Restoration via Non-Convex Component-wise Minimization," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi: 10.1109/JSTARS.2024.3382325. (Online)

4. Maji, Suman Kumar, and Hazique Aetesam. "Lp-norm-based successive denoising approach for hyperspectral images." Remote Sensing Letters 14.4 (2023): 334-345. (Online)

5. Aetesam, Hazique, and Suman Kumar Maji. "Perceptually Motivated Generative Model for Magnetic Resonance Image Denoising." Journal of Digital Imaging 36.2 (2023): 725-738. (Online) (Supplementary Text)
6. Aetesam, Hazique, and Suman Kumar Maji. "Perceptually-motivated adversarial training for deep ensemble denoising of hyperspectral images." Remote Sensing Letters 13.8 (2022): 767-777. (Online)
7. Aetesam, Hazique, Suman Kumar Maji, and Hussein Yahia. "Bayesian approach in a learning-based hyperspectral image denoising framework." IEEE Access 9 (2021): 169335-169347. (Online-1) (Online-2)
8. Aetesam, Hazique, and Suman Kumar Maji. "Noise dependent training for deep parallel ensemble denoising in magnetic resonance images." Biomedical Signal Processing and Control 66 (2021): 102405. (Online)
9. Aetesam, Hazique, Kumari Poonam, and Suman Kumar Maji. "Proximal approach to denoising hyperspectral images under mixed noise model." IET Image Processing 14.14 (2020): 3366-3372. (Online)
10. Aetesam, Hazique, and Itu Snigdh. "A comparative analysis of flat, hierarchical and location-based routing in wireless sensor networks." Wireless Personal Communications 97 (2017): 5201-5211. (Online)
11. Aetesam, Hazique, and Itu Snigdh. "A Survey on Topology Maintenance in Wireless Sensor Networks." International Journal of Wireless and Microwave Technologies (IJWMT) 6 (2016): 29-37. (Online)

Conference Proceedings

1. Aetesam, Hazique, and Suman Kumar Maji. "Attention-based noise prior network for magnetic resonance image denoising." 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). IEEE, 2022. (Online)
2. Kumar, Shashi, Hazique Aetesam, Anirban Saha, and Suman Kumar Maji. "Attention-Based Deep Autoencoder for Hyperspectral Image Denoising." In International Conference on Computer Vision and Image Processing, pp. 159-170. Cham: Springer International Publishing, 2021. (Online)
3. Aetesam, Hazique, Suman Kumar Maji, and Jérôme Boulanger. "A two-phase splitting approach for the removal of gaussian-impulse noise from hyperspectral images." International Conference on Computer Vision and Image Processing. Singapore: Springer Singapore, 2020. 
4. Aetesam, Hazique, and Suman K. Maji. "Ultrasound image deconvolution adapted to gaussian and speckle noise statistics." 2020 7th International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2020. (Online)
5. Aetesam, Hazique, and Suman Kumar Maji. "L2− L1 Fidelity based Elastic Net Regularisation for Magnetic Resonance Image Denoising." 2020 International Conference on Contemporary Computing and Applications (IC3A). IEEE, 2020. (Online)
6. Aetesam, Hazique, Kumari Poonam, and Suman Kumar Maji. "A mixed-norm fidelity model for hyperspectral image denoising under Gaussian-impulse noise." 2019 International Conference on Information Technology (ICIT). IEEE, 2019. (Online)

Book Chapter

1. Aetesam, Hazique, Suman Kumar Maji, and Jerome Boulanger. "The Evolution of Image Denoising From Model-Driven to Machine Learning: A Mathematical Perspective." Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era. IGI Global, 2023. 179-210. (Online) 
2. Aetesam, Hazique, Suman Kumar Maji, and Jerome Boulanger. "Image Enhancement Under Gaussian Impulse Noise for Satellite and Medical Applications." Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era. IGI Global, 2023. 309-342. (Online)