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 that enable businesses, researchers, and marketers to extract actionable insights from platforms like Facebook, Instagram, and X (formerly Twitter). Our tools are designed for use cases such as lead generation, market research, social listening, and more. Learn more at www.cyfylabs.com
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🌟 Open Source Advocate: Passionate about making technology accessible, I’ve developed and open-sourced several software projects for web, mobile, desktop, and AI on my GitHub profile. These projects have been used by thousands of learners worldwide to enhance their skills and knowledge.
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📫 How to Reach Me: To learn more about my skills and work, visit my LinkedIn profile. For collaboration or inquiries, feel free to reach out via email. For Cyfy Labs related queries, please contact us through our company website.
