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exacthistogramspecification's Introduction

Exact Histogram Specification

This is a Python implementation of Exact Histogram Specification by Dinu Coltuc et al.

In contrast to traditional histogram matching algorithms which only approximate a reference histogram, this technique can match the exact reference histograms. This is accomplished by using several kernels which calculate the average of a neighbourhood. Thereby a pixel can not only be sorted after its value, but also after its average values in more than one neighbourhood. This helps to create a truely bijective function which is a prerequisite for exact histogram matching.

More information can be found in the original paper or in Digital Image Processing, 4th Edition, chapter 3.3 which describes the algorithm more concise.

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exacthistogramspecification's Issues

Adaptation for medical images

Hi,

I have been trying (unsuccessfully) to use your code for the histogram matching of medical images. I obtain as a result the exact same input image. I am passing a 120x120x100 matrix. Anyclue what can be happening?

Lower memory usage

Using numpy.lexsort() results in very high memory usage. If an image is too big, this can result in a signal 9 abort.
If someone really needs this implementation for production, than this issue has to be addressed.

Pull requests are welcome.

Image format

The package appears really nice. Do you know if and how this could work with svs images?

Too much white output

Hi sir, I am using your code but not getting the correct output. The output image is too much white.
please tell me if I am doing something wrong. Also, I have a deadline in two days. Please help me as early as possible. Thank you

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