With the raw data, the SSS can be recovered more accurately than with sRGB data that is widely used to recover SSS by almost all state-of-art recovery methods.
Apr 1, 2021 · We report a compressive sensing framework in the frequency domain for accurately predicting RGB spectral response functions only with several primary colors.
Abstract Imaging modeling refers to the modeling and simulation of the raw data generation and the processing process from raw data to sRGB images.
Apr 1, 2021 · We report a compressive sensing framework in the frequency domain for accurately predicting RGB spectral response functions only with several primary colors.
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What is the spectral sensitivity of a sensor?
How to measure spectral sensitivity?
We develop a novel camera spectral sensitivity estimation technique that can recover the linear device spectral sensitivities from linear images.
In order to recover the correct color of a scene, camera raw data needs to be con- verted to device-independent XYZ by Eq. (5), and then a chromatic ...
We show by experiment that by using big neighborhood sizes in our model we can accurately recover the spectra from the RAW images taken by ... Z is the estimate ...
It should be noted that the spectral sensitivity function creates a linear relationship between the camera inputs and outputs using raw image data. However, in ...
To provide a practical solution to this problem, we propose a framework for spectral sensitivity estimation that not only does not require any hardware ( ...
Abstract: Many spectral-recovery methods using RGB dig- ital cameras assume the underlying smoothness of illumi- nant and reflectance spectra, ...