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https://github.com/osspk/gradient-smoothness-structural_similarity-image_histogram

πŸ–ΌοΈ This repository contains ready to run code for the following image processing techniques: Image Gradient, Image Smoothness, Image Histogram (Intensity Histogram) and Structural Similarity Index Measure (SSIM) of Two Images
https://github.com/osspk/gradient-smoothness-structural_similarity-image_histogram

gradient-filter gradient-image image-histogram image-processing image-similarity image-smoothing intensity-histogram laplacian-filter python-image-processing python-opencv rgb-histogram structural-similarity

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πŸ–ΌοΈ This repository contains ready to run code for the following image processing techniques: Image Gradient, Image Smoothness, Image Histogram (Intensity Histogram) and Structural Similarity Index Measure (SSIM) of Two Images

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# πŸ–ΌοΈ Image Processing Techniques

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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

## How To Run
The code is in ready to run condition. Just install the imported modules in Python 3.6 and run the code.

## Examples
Below are some images processed using the code given in this repo.

### 1) Image Gradient
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.



### 2) Image Smoothness
Smoothing is often used to reduce noise within an image.



### 3) Image Histogram (Intensity Histogram)
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.



### 4) Structural Similarity Index Measure of Two Images
SSIM is used for measuring the similarity between two images.



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## Authors πŸ‘‹

You can get in touch with us on our LinkedIn Profiles:

#### Haris Muneer

[![LinkedIn Link](https://img.shields.io/badge/Connect-harismuneer-blue.svg?logo=linkedin&longCache=true&style=social&label=Connect)](https://www.linkedin.com/in/harismuneer)

You can also follow my GitHub Profile to stay updated about my latest projects: [![GitHub Follow](https://img.shields.io/badge/Connect-harismuneer-blue.svg?logo=Github&longCache=true&style=social&label=Follow)](https://github.com/harismuneer)

#### Hassaan Elahi

[![LinkedIn Link](https://img.shields.io/badge/Connect-Hassaan--Elahi-blue.svg?logo=linkedin&longCache=true&style=social&label=Connect)](https://www.linkedin.com/in/hassaan-elahi/)

You can also follow my GitHub Profile to stay updated about my latest projects: [![GitHub Follow](https://img.shields.io/badge/Connect-Hassaan--Elahi-blue.svg?logo=Github&longCache=true&style=social&label=Follow)](https://github.com/Hassaan-Elahi)

If you liked the repo then please support it by giving it a star ⭐!

## Contributions Welcome
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If you find any bugs, have suggestions, or face issues:

- Open an Issue in the Issues Tab to discuss them.
- Submit a Pull Request to propose fixes or improvements.
- Review Pull Requests from other contributors to help maintain the project's quality and progress.

This project thrives on community collaboration! Members are encouraged to take the initiative, support one another, and actively engage in all aspects of the project. Whether it’s debugging, fixing issues, or brainstorming new ideas, your contributions are what keep this project moving forward.

With modern AI tools like ChatGPT, solving challenges and contributing effectively is easier than ever. Let’s work together to make this project the best it can be! πŸš€

## License
[![MIT](https://img.shields.io/cocoapods/l/AFNetworking.svg?style=style&label=License&maxAge=2592000)](../master/LICENSE)

Copyright (c) 2018-present, harismuneer, Hassaan-Elahi


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Hey there, I'm Haris Muneer πŸ‘¨πŸ»β€πŸ’»

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- πŸ•ΈοΈ 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

- 🌟 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.

- πŸ“« 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.


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