Interactive White Balancing for Camera-Rendered Images
Mahmoud Afifi, Michael S. Brown

TL;DR
This paper introduces an efficient interactive white balance correction method for camera-rendered images, enabling user manipulation and auto-correction by linking nonlinear color-mapping functions to selected colors.
Contribution
We propose a new framework that directly connects nonlinear color-mapping functions to user-selected colors for interactive WB editing in camera-rendered images, improving efficiency and enabling auto-WB correction.
Findings
99% reduction in memory usage
3x faster processing speed
Auto-WB correction comparable to previous methods
Abstract
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 illumination. Interactive photo-editing software allows users to manually select different regions in a photo as examples of the illumination for WB correction (e.g., clicking on achromatic objects). Such interactive editing is possible only with images saved in a RAW image format. This is because RAW images have no photo-rendering operations applied and photo-editing software is able to apply WB and other photo-finishing procedures to render the final image. Interactively editing WB in camera-rendered images is significantly more challenging. This is because the camera hardware has already applied WB to the image and subsequent nonlinear photo-processing routines. These nonlinear rendering operations make it…
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Taxonomy
TopicsColor Science and Applications · Advanced Vision and Imaging · Image Enhancement Techniques
