8 papers
RawGen: Learning Camera Raw Image Generation
Dongyoung Kim, Junyong Lee, Abhijith Punnappurath +4
Cameras capture scene-referred linear raw images, which are processed by onboard image signal processors (ISPs) into display-referred 8-bit sRGB outputs. Although raw data is more…
Underwater imaging without color distortions requires RAW capture
Derya Akkaynak, Michael S. Brown
1. Consumer cameras are not designed to be scientific instruments, yet they are increasingly used in science not just to see, but to measure. This is possible because camera sensor…
Modular Neural Image Signal Processing
Mahmoud Afifi, Zhongling Wang, Ran Zhang +1
This paper presents a modular neural image signal processing (ISP) framework that processes raw inputs and renders high-quality display-referred images. Unlike prior neural ISP des…
Raw-JPEG Adapter: Efficient Raw Image Compression with JPEG
Mahmoud Afifi, Ran Zhang, Michael S. Brown
Digital cameras digitize scene light into linear raw representations, which the image signal processor (ISP) converts into display-ready outputs. While raw data preserves full sens…
Learning Camera-Agnostic White-Balance Preferences
Luxi Zhao, Mahmoud Afifi, Michael S. Brown
The image signal processor (ISP) pipeline in modern cameras consists of several modules that transform raw sensor data into visually pleasing images in a display color space. Among…
CCMNet: Leveraging Calibrated Color Correction Matrices for Cross-Camera Color Constancy
Dongyoung Kim, Mahmoud Afifi, Dongyun Kim +2
Computational color constancy, or white balancing, is a key module in a camera's image signal processor (ISP) that corrects color casts from scene lighting. Because this operation…
Time-Aware Auto White Balance in Mobile Photography
Mahmoud Afifi, Luxi Zhao, Abhijith Punnappurath +3
Cameras rely on auto white balance (AWB) to correct undesirable color casts caused by scene illumination and the camera's spectral sensitivity. This is typically achieved using an…
Multispectral Demosaicing via Dual Cameras
SaiKiran Tedla, Junyong Lee, Beixuan Yang +2
Multispectral (MS) images capture detailed scene information across a wide range of spectral bands, making them invaluable for applications requiring rich spectral data. Integratin…