This paper describes the use of a weighted principal component analysis (PCA) method for
camera spectral sensitivity estimation. A comprehensive set of spectral sensitivities of 111 …

The influence of light sources on digital camera-based spectral estimation is explored. The
CIE daylight and non-CIE daylight illuminants with different Correlated Color Temperature …

In previous work, it was shown that a camera can theoretically be made more colorimetric–
its RGBs become more linearly related to XYZ tristimuli–by placing a specially designed …

In previous work, it was shown that a camera can theoretically be made more colorimetric-its
RGBs become more linearly related to XYZ tristimuli-by placing a specially designed color …

Spectral sensitivities represent the spectral property of a digital camera. Most of the prior art
spectral sensitivities estimation algorithms were applied to reflective colour charts, while …

There is a growing demand for developing image sensor systems to aid fruit and vegetable
harvesting, and crop growth prediction in precision agriculture. In this paper, we present an …

Previously improved color accuracy of a given digital camera was achieved by carefully
designing the spectral transmittance of a color filter to be placed in front of the camera …

Most digital cameras have spectral characteristics that make it impossible for the camera to
provide accurate colorimetric information of a recorded scene. We extend previous work on …

Cameras are built to capture and represent the world in a way that is as similar to the human
experience as possible. Images are considered colorimetric if they represent the spectral …

To improve the color reproduction and realism of digital cameras and to promote the
development of computer vision. Camera colorimetry is conditioned on the spectral …