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Found 13 papers, 0 papers with code
Matched Illumination
According to our method, if we wish to measure color under a D65 light, we relight the scene with a modulated D65 spectrum where the light modulation mimics the effect of color prefiltering in the prior art.
Mathematical derivation for Vora-Value based filter design method: Gradient and Hessian
In this paper, we present the detailed mathematical derivation of the gradient and Hessian matrix for the Vora-Value based colorimetric filter optimization.
Designing a Color Filter via Optimization of Vora-Value for Making a Camera more Colorimetric
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 is colorimetric.
Designing Color Filters that Make Cameras MoreColorimetric
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 transmittance.
Physically Plausible Spectral Reconstruction from RGB Images
In this paper we show how CNN learning can be extended so that physical plausibility is enforced and the problem resulting from changing exposures is mitigated.
Spherical sampling methods for the calculation of metamer mismatch volumes
In this paper, we propose two methods of calculating theoretically maximal metamer mismatch volumes.
Rehabilitating the ColorChecker Dataset for Illuminant Estimation
In a previous work, it was shown that there is a curious problem with the benchmark ColorChecker dataset for illuminant estimation.
Camera Calibration for Daylight Specular-Point Locus
First we prove theoretically that any candidate specular points, for an image that is generated by a specific camera and taken under a daylight, must lie on a straight line in log-chromaticity space, for a chromaticity that is generated using a geometric-mean denominator.
Concise Radiometric Calibration Using The Power of Ranking
Compared with raw images, the more common JPEG images are less useful for machine vision algorithms and professional photographers because JPEG-sRGB does not preserve a linear relation between pixel values and the light measured from the scene.
Recoding Color Transfer as a Color Homography
A powerful form of shading adjustment is shown to be a global shading curve by which the same shading homography can be applied elsewhere.
Color Homography Color Correction
Homographies -- a mathematical formalism for relating image points across different camera viewpoints -- are at the foundations of geometric methods in computer vision and are used in geometric camera calibration, image registration, and stereo vision and other tasks.
Color Homography
We show the surprising result that colors across a change in viewing condition (changing light color, shading and camera) are related by a homography.
POP Image Fusion - Derivative Domain Image Fusion Without Reintegration
Here, a new composite fused derivative is found that best accounts for the detail across all images and then the resulting gradient field is reintegrated.
