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Related Experiment Videos

Effects of luminance quantization error on color image processing.

J J Rodriguez1, C C Yang

  • 1Dept. of Electr. and Comput. Eng., Arizona Univ., Tucson, AZ.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1994
PubMed
Summary
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Quantization error in color image processing distorts results. This study analyzes worst-case errors and shows how histogram resolution impacts performance in monochrome techniques applied to intensity components.

Area of Science:

  • Image Processing
  • Computer Vision
  • Digital Signal Processing

Background:

  • Color image processing often uses monochrome techniques on the intensity component.
  • Quantization of the intensity image introduces errors.
  • These errors propagate and can cause significant distortion in the final output.

Purpose of the Study:

  • To theoretically analyze the worst-case quantization error in color image processing.
  • To investigate the impact of histogram resolution on performance.

Main Methods:

  • Theoretical analysis of quantization error propagation.
  • Experimental evaluation using histogram equalization.

Main Results:

  • Quantization error significantly distorts images, dependent on RGB values and processing functions.

Related Experiment Videos

  • Histogram resolution directly affects the performance of monochrome techniques applied to intensity components.
  • Conclusions:

    • The common approach of applying monochrome techniques to quantized intensity components is prone to distortion.
    • Careful consideration of quantization error and histogram resolution is crucial for accurate color image processing.