161 citations · 246 across the 14 of their papers we have counts for
6 papers · 1 filter
Mathematical derivation for Vora-Value based filter design method: Gradient and Hessian
Yuteng Zhu, Graham D. Finlayson
In this paper, we present the detailed mathematical derivation of the gradient and Hessian matrix for the Vora-Value based colorimetric filter optimization. We make a full recapitu…
Unifying Optimization Methods for Color Filter Design
Graham Finlayson, Yuteng Zhu
Through optimization we can solve for a filter that when the camera views the world through this filter, it is more colorimetric. Previous work solved for the filter that best sati…
Designing a Color Filter via Optimization of Vora-Value for Making a Camera more Colorimetric
Yuteng Zhu, Graham D. Finlayson
The Luther condition states that if the spectral sensitivity responses of a camera are a linear transform from the color matching functions of the human visual system, the camera i…
NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image
Boaz Arad, Radu Timofte, Ohad Ben-Shahar +4
This paper reviews the second challenge on spectral reconstruction from RGB images, i.e., the recovery of whole-scene hyperspectral (HS) information from a 3-channel RGB image. As…
Designing Color Filters that Make Cameras MoreColorimetric
Graham D. Finlayson, Yuteng Zhu
When we place a colored filter in front of a camera the effective camera response functions are equal to the given camera spectral sensitivities multiplied by the filter spectral t…
Physically Plausible Spectral Reconstruction from RGB Images
Yi-Tun Lin, Graham D. Finlayson
Recently Convolutional Neural Networks (CNN) have been used to reconstruct hyperspectral information from RGB images. Moreover, this spectral reconstruction problem (SR) can often…