Technical Report Abstract - A change of color between two pictures of a same scene captured by different devices and/or under different illuminants, is usually approximated by a full 3x3 linear map between the RGB responses of the images. By assuming this model, we develop a novel efficient color correction algorithm, with linear complexity in the number of image pixels. The main idea underlying our approach is to describe the images to be corrected by nine channels: the red, green, blue color channels provided by the device, plus six other channels encoding both geometric and color information. These additional channels are built up from the color ones by distorting them with 2D functions related to the pixel positions. The color correction is achieved by a linear transform which maps the mean values of the nine channels of first image on the mean values of the nine channels of the second images.

Geometric Distortions of Color Channels for Linear Color Correction Between Images

Lecca, Michela
2012

Abstract

Technical Report Abstract - A change of color between two pictures of a same scene captured by different devices and/or under different illuminants, is usually approximated by a full 3x3 linear map between the RGB responses of the images. By assuming this model, we develop a novel efficient color correction algorithm, with linear complexity in the number of image pixels. The main idea underlying our approach is to describe the images to be corrected by nine channels: the red, green, blue color channels provided by the device, plus six other channels encoding both geometric and color information. These additional channels are built up from the color ones by distorting them with 2D functions related to the pixel positions. The color correction is achieved by a linear transform which maps the mean values of the nine channels of first image on the mean values of the nine channels of the second images.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11582/89001
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