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      • Department of Electrical and Electronics Engineering
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      QR-RLS algorithm for error diffusion of color images

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      Author(s)
      Unal, G. B.
      Yardimci, Y.
      Arıkan, Orhan
      Çetin, A. Enis
      Date
      2000
      Source Title
      Optical Engineering
      Print ISSN
      0091-3286
      Publisher
      SPIE
      Volume
      39
      Issue
      11
      Pages
      2860 - 2866
      Language
      English
      Type
      Article
      Item Usage Stats
      245
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      264
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      Abstract
      Printing color images on color printers and displaying them on computer monitors requires a significant reduction of physically distinct colors, which causes degradation in image quality. An efficient method to improve the display quality of a quantized image is error diffusion, which works by distributing the previous quantization errors to neighboring pixels, exploiting the eye's averaging of colors in the neighborhood of the point of interest. This creates the illusion of more colors. A new error diffusion method is presented in which the adaptive recursive least-squares (RLS) algorithm is used. This algorithm provides local optimization of the error diffusion filter along with smoothing of the filter coefficients in a neighborhood. To improve the performance, a diagonal scan is used in processing the image.
      Keywords
      Adaptive algorithms
      Color image processing
      Error detection
      FIR filters
      Image analysis
      Image quality
      Least squares approximations
      Optical filters
      Optimization
      Vector quantization
      Color dithering
      Color images
      Error diffusion
      Quantization errors
      Quantized image
      Optical engineering
      Permalink
      http://hdl.handle.net/11693/24986
      Published Version (Please cite this version)
      http://dx.doi.org/10.1117/1.1313749
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      • Department of Electrical and Electronics Engineering 3868
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