imhblpce VS im2dhisteq

Compare imhblpce vs im2dhisteq and see what are their differences.

imhblpce

This module attempts to enhance contrast of a given image by employing a method called HBLPCE. (by Mamdasn)
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imhblpce im2dhisteq
1 4
5 24
- -
0.0 8.8
4 months ago about 2 months ago
Python Python
GNU General Public License v3.0 only GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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imhblpce

Posts with mentions or reviews of imhblpce. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-03.
  • Enhance Images, From 💩 to 🔥
    2 projects | /r/Python | 3 May 2021
    Regarding the case of over-enhancement, I wrote another module that while enhancing contrast of the image, it keeps an eye on the histogram's general shape to prevent excessive enhancement. This method can be used for a more wide variety of images without any problem. You can access it here: imhblpce method.

im2dhisteq

Posts with mentions or reviews of im2dhisteq. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-04.
  • Using numba, my code now runs faster by about 20 times 😲
    2 projects | /r/Python | 4 May 2021
    For more information refer to the article I linked in this page: https://github.com/Mamdasn/im2dhisteq
  • Using numba my code runs faster by about 20 times 😲
    3 projects | /r/learnpython | 4 May 2021
    I recently added im2dhisteq to my repository and because it was very slow, I searched for a new way to make my code run faster, as I was already using numpy built-in functions and there were no (at least easy) other way to optimize the code using just numpy. I recently found out about Numba, which is advertised to run my codes 1000 times faster, but as I later found out the degree of that is actually very dependant on your code. After reading through their website and through a long series of trials and erros I learned how to write a code that is Numba-friendly and is satisfyingly faster than my base code. website of Numba: Numba Proof: My code: https://github.com/Mamdasn/im2dhisteq In my repository, in addition to the Numba-flavord versions, I released the Numba-less versions, which are accessible here: im2dhisteq and imhist. You can check them out and compare them to come to a base understanding of how Numba-friendly codes looks like.
  • Enhance Images From 💩 to 🔥
    1 project | /r/programming | 4 May 2021
  • Enhance Images, From 💩 to 🔥
    2 projects | /r/Python | 3 May 2021
    Code is here: Two Dimensional Image Contrast Enhancement

What are some alternatives?

When comparing imhblpce and im2dhisteq you can also consider the following projects:

im2dhist - This small piece of code is intended to help researchers, especially in field of image processing, to easily calculate two dimensional histogram of a given image.

color-matcher - automatic color-grading

Image-Contrast-Enhancement - Python implementation of "A New Image Contrast Enhancement Algorithm Using Exposure Fusion Framework", CAIP2017

comparing-numba-less-and-numba-flavored-version - A comparison of a numba-less version and numba-flavored version of the same code base.

plotille - Plot in the terminal using braille dots.

Numba - NumPy aware dynamic Python compiler using LLVM