[CANCELLED] Color-Accurate Camera Capture with Multispectral Illumination and Multiple Exposures [practice talk]

Add to your list(s) Download to your calendar using vCal

• Hongyun Gao, University of Cambridge
• Thursday 10 October 2024, 14:00-15:00
• SS03 - William Gates Building.

If you have a question about this talk, please contact Rafal Mantiuk.

[CANCELLED]

Cameras cannot capture the same colors as those seen by the human eye because the eye and the cameras’ sensors differ in their spectral sensitivity. To obtain a plausible approximation of perceived colors, the camera’s Image Signal Processor (ISP) employs a color correction step. However, even advanced color correction methods cannot solve this underdetermined problem, and visible color inaccuracies are always present. Here, we explore an approach in which we can capture accurate colors with a regular camera by optimizing the spectral composition of the illuminant and capturing one or more exposures. We jointly optimize for the signal-to-noise ratio and for the color accuracy irrespective of the spectral composition of the scene. One or more images captured under controlled multispectral illuminants are then converted into a color-accurate image as seen under the standard illuminant of D65 . Our optimization allows us to reduce the color error by 20–60% (in terms of CIEDE 2000 ), depending on the number of exposures and camera type. The method can be used in applications in which illumination can be controlled, and high colour accuracy is required, such as product photography or with a multispectral camera flash.

Zoom link: https://cam-ac-uk.zoom.us/j/87001605167?pwd=8Fm0icapflADaxMRP5IOiUCqqCtblO.1

This talk is part of the Rainbow Group Seminars series.

This talk is included in these lists:

• All Talks (aka the CURE list)
• Cambridge Centre for Data-Driven Discovery (C2D3)
• Cambridge talks
• Chris Davis' list
• Department of Computer Science and Technology talks and seminars
• Interested Talks
• Rainbow Group Seminars
• SS03 - William Gates Building
• School of Technology
• Trust & Technology Initiative - interesting events
• bld31
• ndk22's list
• ob366-ai4er
• rp587

Note that ex-directory lists are not shown.