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A New Color Image Zooming Technique for Digital Still Cameras

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This paper focuses on color image zooming performed on the Bayer pattern, a color filter array widely used in digital still cameras. The proposed method firstly enlarges the Bayer image and secondly interpolates the missing color elements of the enlarged Bayer image by an edge-sensing interpolation scheme combined with a color difference model. This enhances structural content preservation and results in excellent color fidelity of the enlarged image. The proposed edge-sensing zooming algorithm preserves the structural content of the Bayer data and produces a sharp, enlarged output. Used cascades of the proposed zooming method and efficient color filter array interpolations produce images that are naturally colored and pleasurable for viewing. This also results in excellent results in terms of objective image quality measure.
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Document Type: Research Article

Publication date: January 1, 2004

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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