10 citations · 21 across the 8 of their papers we have counts for
6 papers · 1 filter
Zero shot framework for satellite image restoration
Praveen Kandula, A. N. Rajagopalan
Satellite images are typically subject to multiple distortions. Different factors affect the quality of satellite images, including changes in atmosphere, surface reflectance, sun…
Unsupervised haze removal from underwater images
Praveen Kandula, A. N. Rajagopalan
Several supervised networks exist that remove haze information from underwater images using paired datasets and pixel-wise loss functions. However, training these networks requires…
Unsupervised network for low-light enhancement
Praveen Kandula, Maitreya Suin, A. N. Rajagopalan
Supervised networks address the task of low-light enhancement using paired images. However, collecting a wide variety of low-light/clean paired images is tedious as the scene needs…
Unsupervised Domain-Specific Deblurring using Scale-Specific Attention
Praveen Kandula, Rajagopalan. A. N
In the literature, coarse-to-fine or scale-recurrent approach i.e. progressively restoring a clean image from its low-resolution versions has been successfully employed for single…
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results
Andreas Lugmayr, Martin Danelljan, Radu Timofte +18
This paper reviews the AIM 2019 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses the real world setting,…
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
Andrey Ignatov, Radu Timofte, Thang Van Vu +45
This paper reviews the first challenge on efficient perceptual image enhancement with the focus on deploying deep learning models on smartphones. The challenge consisted of two tra…