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Transforming 3D Colour Histograms of Images

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The aim of this paper is to describe a method for transforming an image's 3D colour histogram so as to accurately match a predetermined target state. The method proposed here consists of a colour indexing stage followed by the determination of a histogram transformation matrix on the basis of the Earth Mover's Distance histogram difference metric.1 In addition to describing this method, the paper also analyses the results of transforming an image's 3D colour histogram in terms of its effect on the image's spatial characteristics. Finally, examples of using the technique to transform an image's histogram to match that of another image are shown. The purpose of having developed this approach is to be able to perturb this image characteristic in an accurate, direct and controlled way as this can be of use in studies that aim to study the impact of image characteristics on various imaging contexts, like colour reproduction or database indexing and searching. Being able to modify the 3D colour histograms of an image then allows for the generation of image test sets in which images have this characteristic in arbitrary states.
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Document Type: Research Article

Publication date: January 1, 2002

More about this publication?
  • Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual papers for details.

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