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Maximum entropy algorithm applied to image enhancement

Maximum entropy algorithm applied to image enhancement

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A model is suggested for assigning the prior probability of an image in Bayes' theorem which leads to a very general algorithm for image enhancement. Examples of sharpening blurred photographs show how the success of deconvolution depends on the signal/noise ratio in the degraded images.

References

    1. 1)
      • Restoring with maximum likelihood and maximum entrop
    2. 2)
      • Maximum-entropy image processing in gamma-ray astronomy
    3. 3)
      • Image reconstruction from incomplete and noisy data
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