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20162023
most citedSensor-Independent Illumination Estimation for DNN Models

39 citations · 86 across the 14 of their papers we have counts for

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Showing 2020Show all

9 papers · 1 filter

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.CV2020★ 1 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★ 28 cited

A Little Bit More: Bitplane-Wise Bit-Depth Recovery

Abhijith Punnappurath, Michael S. Brown

Imaging sensors digitize incoming scene light at a dynamic range of 10--12 bits (i.e., 1024--4096 tonal values). The sensor image is then processed onboard the camera and finally q…

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…

cs.CV2020

Deep White-Balance Editing

Mahmoud Afifi, Michael S. Brown

We introduce a deep learning approach to realistically edit an sRGB image's white balance. Cameras capture sensor images that are rendered by their integrated signal processor (ISP…

eess.IV2020

Learning Multi-Scale Photo Exposure Correction

Mahmoud Afifi, Konstantinos G. Derpanis, Björn Ommer +1

Capturing photographs with wrong exposures remains a major source of errors in camera-based imaging. Exposure problems are categorized as either: (i) overexposed, where the camera…