This module attempts to enhance contrast of a given image by equalizing its two dimensional histogram. (by Mamdasn)


Basic im2dhisteq repo stats
17 days ago

Mamdasn/im2dhisteq is an open source project licensed under MIT License which is an OSI approved license.

Im2dhisteq Alternatives

Similar projects and alternatives to im2dhisteq based on common topics and language

  • GitHub repo Numba

    NumPy aware dynamic Python compiler using LLVM

  • GitHub repo 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.

  • GitHub repo imhblpce

    This module attempts to enhance contrast of a given image by employing a method called HBLPCE.

  • GitHub repo comparing-numba-less-and-numba-flavored-version

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

  • GitHub repo EasyOCR

    Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

NOTE: The number of mentions on this list indicates mentions on common posts. Hence, a higher number means a better im2dhisteq alternative or higher similarity.


Posts where im2dhisteq has been mentioned. 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 😲 | 2021-05-04
    For more information refer to the article I linked in this page:
  • Using numba my code runs faster by about 20 times 😲
    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: 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 🔥
  • Enhance Images, From 💩 to 🔥 | 2021-05-03
    Code is here: Two Dimensional Image Contrast Enhancement