https://github.com/aymen016/image-processing-algorithms

Explore Python-based image processing from scratch with core algorithms like interpolation, convolution, and filtering!
https://github.com/aymen016/image-processing-algorithms

matplotlib numpy pillow python

Last synced: 18 days ago
JSON representation

Explore Python-based image processing from scratch with core algorithms like interpolation, convolution, and filtering!

• Host: GitHub
• URL: https://github.com/aymen016/image-processing-algorithms
• Owner: Aymen016
• Created: 2024-10-24T13:01:50.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-11-05T16:12:54.000Z (8 months ago)
• Last Synced: 2025-03-30T08:29:19.051Z (3 months ago)
• Topics: matplotlib, numpy, pillow, python
• Language: Jupyter Notebook
• Homepage:
• Size: 982 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Image-Processing-Algorithms

This repository contains Python implementations of basic image processing algorithms developed from scratch without using any external image processing libraries.

## Overview

The following algorithms are implemented:

1. **Nearest Neighbor Interpolation and Resizing** - Resize an image using Nearest Neighbor Interpolation.

2. **Bilinear Interpolation and Resizing** - Resize an image using Bilinear Interpolation.

3. **Convolution** - Apply a convolution operation to an input image with a specified kernel.

4. **Gaussian Filter** - Smooth an input image using a Gaussian filter.

## Algorithms Description

### 1. Nearest Neighbor Interpolation

The simplest interpolation technique that selects the closest pixel value to assign to the new pixel in the resized image. It’s fast but results in blocky images.

![Screenshot 2024-11-05 210144](https://github.com/user-attachments/assets/458c0f18-bd18-4f5d-94e9-e86ae12f2fa8)

### 2. Bilinear Interpolation

This technique considers a weighted average of the four nearest pixel values to compute the new pixel value. It produces smoother results compared to nearest neighbor interpolation.

![Screenshot 2024-11-05 211045](https://github.com/user-attachments/assets/c1e7e3dc-d3b7-4201-af58-8c965eb7b689)

### 3. Convolution

Convolution is an operation that slides a small matrix called a kernel across an image and computes the weighted sum of the overlapping pixel values to produce a filtered image. This is commonly used for feature extraction.

![Screenshot 2024-11-05 211135](https://github.com/user-attachments/assets/9d4010c4-839e-418c-a530-d738f4dca8da)

### 4. Gaussian Filter

The Gaussian filter is used for image smoothing by reducing noise and detail. It applies a Gaussian function over the image and uses convolution to blur the image.

![Screenshot 2024-11-05 211201](https://github.com/user-attachments/assets/f39c63d3-8193-45ca-a7cf-0668716e1022)