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Toward a Natural Local Color Image Enhancement

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There is no unique contrast enhancement method, but the existing methods seem to cover all needs for local or global enhancement. Nevertheless, experimental evidence shows that the two main algorithmic classes (histogram based and high pass filter based) have their own characteristic artifacts. This work intends to show that new and simple alternative algorithms in these classes are possible. The two proposed algorithms introduce bounds on the amount of contrast change, permitting to always deliver natural looking enhanced images. Comparison with six state-of the-art methods illustrate the competitiveness of a fast nonlinear local contrast enhancement method by partial differential equation, and of a very simple histogram modification method.
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Document Type: Research Article

Publication date: January 1, 2012

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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