Digital Image Processing Projects

This repository contains coursework and projects for the Digital Image Processing class. Implementations are in MATLAB, and each folder represents a different assignment or project phase.

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Folder Structure

📁 A2 - Assignment 2

Description:
This folder contains MATLAB scripts that demonstrate fundamental image enhancement techniques.

Key Topics:

• Histogram Equalization
• Log and Power-Law (Gamma) Transformations
• Contrast Stretching
• Image Negatives

Sample Files:

• hist_equalization.m
• gamma_transform.m
• contrast_stretch.m

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📁 A3 - Assignment 3

Description:
This folder includes experiments with spatial filtering and edge detection.

Key Topics:

• Smoothing Filters (Mean, Gaussian)
• Sharpening Filters (Laplacian, High-boost)
• Edge Detection (Sobel, Prewitt, Canny)

Sample Files:

• sobel_filter.m
• laplacian_sharpening.m
• canny_edge.m

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📁 Final - Final Project

Description:
This folder contains the final project integrating multiple concepts of image processing.

Key Features:

• Complete image processing pipeline
• Noise reduction and enhancement
• Segmentation and edge detection
• Visualization of processing steps

Sample Files:

• final_main.m
• noise_removal.m
• segmentation_pipeline.m

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Requirements

• MATLAB R2020 or later
• Image Processing Toolbox

How to Run

1. Clone this repository:

   git clone https://github.com/Yashasvi1714/Digital-image-processing.git