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Histogram Equalization for Image Contrast Enhancement

Histogram equalization is an image preprocessing technique that redistributes pixel intensities to improve contrast and visibility of details. By spreading the histogram of pixel values evenly across the available range, histogram equalization enhances images with poor contrast, making features more visually distinct and easier to process algorithmically.

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Izvori

  1. Gonzalez, R. C., & Woods, R. E. (1992). Digital Image Processing. Addison-Wesley, 2nd edition, Chapter 3. link
  2. Pizer, S. M., Amburn, E. P., Austin, J. D., et al. (1987). Adaptive histogram equalization and its variations. Computer Vision, Graphics, and Image Processing, 39(3), 355–368. DOI: 10.1016/S0734-189X(87)80186-X

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ScholarGate. (2026, June 3). Histogram Equalization for Image Contrast Enhancement. ScholarGate. https://scholargate.app/sr/computer-vision/histogram-equalization

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ScholarGateHistogram Equalization (Histogram Equalization for Image Contrast Enhancement). Preuzeto 2026-06-15 sa https://scholargate.app/sr/computer-vision/histogram-equalization · Skup podataka: https://doi.org/10.5281/zenodo.20539026