Accurate Mapping of Natural Scenes Radiance to Cone Activation Space: A New Image Dataset

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Formal Metadata

Title
Accurate Mapping of Natural Scenes Radiance to Cone Activation Space: A New Image Dataset
Title of Series
Part Number
8
Number of Parts
43
Author
Párraga, C. Alejandro
Baldrich, Ramon
Vanrell, Maria
License
CC Attribution - NoDerivatives 2.0 UK: England & Wales:
You are free to use, copy, distribute and transmit the work or content in unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Identifiers
Publisher
River Valley TV
Release Date
2011
Language
English
Production Place
Joensuu, Finland

Content Metadata

Subject Area
Abstract
The characterization of trichromatic cameras is usually done in terms of a deviceindependent color space, such as the CIE 1931 XYZ space. This is indeed convenient since it allows the testing of results against colorimetric measures. We have characterized our camera to represent human cone activation by mapping the camera sensor’s (RGB) responses to human (LMS) through a polynomial transformation, which can be “customized” according to the types of scenes we want to represent. Here we present a method to test the accuracy of the camera measures and a study on how the choice of training reflectances for the polynomial may alter the results.
Keywords
The 5th European Conference on Colour in Graphics, Imaging
Vision and the 12th International Symposium on Multispectral Colour Science
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Timings

  298 ms - page object

Version

AV-Portal 3.11.0 (be3ed8ed057d0e90118571ff94e9ca84ad5a2265)
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