Skip to main content

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

Project description

imhblpce

This module attempts to enhance contrast of a given image by employing 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 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-0.0.3.tar.gz (3.7 MB view details)

Uploaded Source

Built Distribution

imhblpce-0.0.3-py3-none-any.whl (4.2 kB view details)

Uploaded Python 3

File details

Details for the file imhblpce-0.0.3.tar.gz.

File metadata

  • Download URL: imhblpce-0.0.3.tar.gz
  • Upload date:
  • Size: 3.7 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-0.0.3.tar.gz
Algorithm Hash digest
SHA256 47fabd8287b2a85a997261c89fcddff05de784d145d38239fb03e23aae07a708
MD5 0906f3e75c874c4a070d9e72fcacd798
BLAKE2b-256 86cb6403dcb68b750ac12e950b4fe3ab425616299846c1fa74a9572761ab2765

See more details on using hashes here.

File details

Details for the file imhblpce-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: imhblpce-0.0.3-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-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 89eba666fa1b75e94203b60c6372a939b9eb9c83cede4cc7b797ce870e6032ae
MD5 f363f0c934ee897e39848ec1e0e158b2
BLAKE2b-256 220e7dd5e3948ff316db1c0e6dbecbc417f35b965a48f509ce825ad7db928e08

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