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Improved CFA Interpolation Approach

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In this paper, a new color filter array (CFA) interpolation method for digital still cameras is introduced. Building on the computed edge-sensing map and a refined color difference model, a new correlation-correction algorithm is introduced. Due to edge-sensing interpolation mechanism and correction steps performed for each color channel, the proposed interpolation scheme is able to overcome the limitations of existing CFA based image acquisition solutions and restore color images without introducing false colors, edge blurring or visual artifacts. Moreover, the proposed method is described in a novel vector notation, which readily unifies previously developed schemes. Simulation studies indicate that the proposed method is computationally efficient and yields excellent performance, in terms of subjective and objective image quality measures, while outperforming well-known and widely used CFA interpolation methods.
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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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