most citedSensor-Independent Illumination Estimation for DNN Models

39 citations · 40 across the 4 of their papers we have counts for

collaborators

10 papers

eess.IV2020

Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data

Abdullah Abuolaim, Mauricio Delbracio, Damien Kelly +2

Recent work has shown impressive results on data-driven defocus deblurring using the two-image views available on modern dual-pixel (DP) sensors. One significant challenge in this…

cs.CV20201 cited

HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms

Mahmoud Afifi, Marcus A. Brubaker, Michael S. Brown

While generative adversarial networks (GANs) can successfully produce high-quality images, they can be challenging to control. Simplifying GAN-based image generation is critical fo…

cs.CV2020

Interactive White Balancing for Camera-Rendered Images

Mahmoud Afifi, Michael S. Brown

White balance (WB) is one of the first photo-finishing steps used to render a captured image to its final output. WB is applied to remove the color cast caused by the scene's illum…

cs.CV2020

CIE XYZ Net: Unprocessing Images for Low-Level Computer Vision Tasks

Mahmoud Afifi, Abdelrahman Abdelhamed, Abdullah Abuolaim +2

Cameras currently allow access to two image states: (i) a minimally processed linear raw-RGB image state (i.e., raw sensor data) or (ii) a highly-processed nonlinear image state (e…

cs.CV2020

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results

Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte +87

This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results. The challenge is a new versi…

eess.IV2020

Defocus Deblurring Using Dual-Pixel Data

Abdullah Abuolaim, Michael S. Brown

Defocus blur arises in images that are captured with a shallow depth of field due to the use of a wide aperture. Correcting defocus blur is challenging because the blur is spatiall…