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Title: A new in-camera color imaging model for computer vision
Keywords: radiometric calibration, in-camera image processing, gamut mapping, white balance
Issue Date: 22-Jan-2013
Citation: LIN HAITING (2013-01-22). A new in-camera color imaging model for computer vision. ScholarBank@NUS Repository.
Abstract: We present a study of the in-camera image processing through an extensive analysis of images from over 30 cameras. Our goal is to investigate if image values can be transformed to physically meaningful values, and if so, when and how this can be done. From our analysis, we found a major limitation of the imaging model employed in conventional radiometric calibration methods and propose a new in-camera imaging model that fits well with today?s cameras. We also present associated calibration procedures that allow us to convert sRGB images back to their original RAW responses in a manner that is significantly more accurate than any existing methods. Additionally, we show how our model can be used to build an image correction application that converts a sRGB input image captured with the wrong settings to a sRGB output image that would have been recorded under the correct settings of a specific camera.
Appears in Collections:Ph.D Theses (Open)

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