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

C. Alejandro Párraga, Ramon Baldrich, Maria Vanrell Universitat Autònoma de Barcelona, Spain Download paper Play (17min) Download: FLV | MOV | OGG | MP3

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.

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