This repository contains ready to run code for the following image processing techniques:
- Image Gradient
- Image Smoothness
- Image Histogram (Intensity Histogram)
- Structural Similarity Index of Two Images
The code is in ready to run condition. Just install the imported modules in Python 3.6 and run the code.
Below are some images processed using the code given in this repo.
An image gradient is a directional change in the intensity or color in an image. Here Laplacian Gradient Filter is applied to calculate the gradient.
Smoothing is often used to reduce noise within an image.
In an image processing context, the histogram of an image normally refers to a histogram of the pixel intensity values. This histogram is a graph showing the number of pixels in an image at each different intensity value found in that image.
SSIM is used for measuring the similarity between two images.
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Copyright (c) 2018-present, harismuneer, Hassaan-Elahi
Hey there, I'm Haris Muneer 👨🏻💻
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🕸️ Founder of Cyfy Labs: At Cyfy Labs, we provide advanced social media scraping tools to help businesses, researchers, and marketers extract actionable data from platforms like Facebook, Instagram, and X (formerly Twitter). Our tools support lead generation, sentiment analysis, market research, and various other use cases. To learn more, visit: www.cyfylabs.com
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🌟 Open Source Advocate: I’m passionate about making tech accessible. I’ve open-sourced several projects that you can explore on my GitHub profile and on the Open Source Software PK page.
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📫 How to Reach Me: You can learn more about my skills/work at LinkedIn. You can also reach out via email for collaboration or inquiries. For Cyfy Labs related queries, please reach out through the company website.
