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Contrast Maximizing and Brightness Preserving Color to Grayscale Image Conversion

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This paper presents a novel variance (contrast) maximizing and brightness preserving color to grayscale image transformation method. We formulate the problem of converting color to grayscale image as a constrained optimization problem where we maximize the variance (contrast) of the grayscale image subject to the constraint that it preserves the brightness of the color image. Our algorithm has no free parameter and has a closed-form solution. We present experimental results to demonstrate the effectiveness of the new technique and compare it with other recent methods.
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Document Type: Research Article

Publication date: January 1, 2008

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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