Skip to main content

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

Project description

imhblpce

This module attempts to enhance contrast of a given image with a method called HBLPCE [Histogram-Based Locality-Preserving Contrast Enhancement]. This method enhances contrast of an image through equalizing its histogram, while keeping an eye on histogram's general shape, to conserve overall brightness and prevent excessive enhancement of the image.

You can access the article that came up with this method here.

Through formulating their approach, a minimization problem is introduced and solved using cvxpy solver library in python.

Installation

Run the following to install:

pip install imhblpce

Usage

import numpy as np
import cv2
from imhblpce import imhblpce

def imresize(img, wr=500, hr=None): # This is just for imshow-ing images with titles
    [ h, w, d] = img.shape
    hr = (h*wr)//w if not hr else hr
    img_resized = cv2.resize(img, dsize=(wr, hr))
    return img_resized

def main():
    image_name = 'assets/Countryside.jpg'
    image = cv2.imread(image_name)

    # converts rgb image to hsv
    hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
    v_image = hsv_image[:, :, 2]
    v_image_hblpce = imhblpce(v_image)

    hsv_image_hblpce = hsv_image.copy()
    hsv_image_hblpce[:, :, 2] = v_image_hblpce
    image_hblpce = cv2.cvtColor(hsv_image_hblpce, cv2.COLOR_HSV2BGR)

    # This is just for imshow-ing images with titles

    cv2.imshow('Original Image', imresize(image))
    cv2.imshow('HBLPCE-d Image', imresize(image_hblpce))
    cv2.waitKey(0)

if __name__ == '__main__': main()

Showcase

This is a sample image Countryside.jpg Image The sample image enhanced by HBLPCE method Countryside-imhblpce.jpg Image

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

imhblpce-0.0.1.tar.gz (2.1 MB view details)

Uploaded Source

Built Distribution

imhblpce-0.0.1-py3-none-any.whl (4.2 kB view details)

Uploaded Python 3

File details

Details for the file imhblpce-0.0.1.tar.gz.

File metadata

  • Download URL: imhblpce-0.0.1.tar.gz
  • Upload date:
  • Size: 2.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.56.2 CPython/3.9.2

File hashes

Hashes for imhblpce-0.0.1.tar.gz
Algorithm Hash digest
SHA256 754621da6b69207d59484b3e3b03f06754db1a1be18ae31d60568dbaa61e7b78
MD5 089e4192cf509b1125416791adf22987
BLAKE2b-256 6719eea79594a624c933d004532cfc62447c101b8f9450707d5a2e7ba4a4a448

See more details on using hashes here.

File details

Details for the file imhblpce-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: imhblpce-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 4.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.56.2 CPython/3.9.2

File hashes

Hashes for imhblpce-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 bdd96d42caca2d41260f674c033f6f8b09a700abc8765930e5683279fab91339
MD5 2b94c8cb799e4b7289f7cc35595f059b
BLAKE2b-256 d9079c23a85b9e52e7852544b7fa93de279c02989d31dc5a9dbd3541fe56e2c0

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page