Skip to content

Latest commit

 

History

History
53 lines (37 loc) · 2.16 KB

README.md

File metadata and controls

53 lines (37 loc) · 2.16 KB

Image Processing Pipeline and Web Server

Overview

This project consists of a suite of image filter programs and a web server developed in C. The image filters can be applied to bitmap images through a command-line interface or a web browser. The filters include copy, greyscale, Gaussian blur, edge detection, and scaling.

Original Features

Image Filter Programs

  • Filter Development & Process Management: Engineered image filters in C, including copy, greyscale, Gaussian blur, edge detection, and scaling. Built a "master" program to manage the execution of multiple filter processes, enabling users to apply a series of filters to manipulate bitmap images in a single pipeline.

Web Server

  • Web Server & HTTP Handling: Developed a web server in C that utilizes sockets for network communication, enabling users to apply image filters via a web browser. Implemented HTTP request parsing and response construction to handle GET and POST requests, facilitating file uploads and filter application.

How to Use

  1. Compile the Code: Run make to compile the image filters and the web server.

    make

  2. Run Image Filters via Command Line: Apply filters to an image using the command line. For example, to apply the greyscale filter:

    ./greyscale < input_image.bmp > output_image.bmp

  3. Run the Web Server: Start the web server.

    ./image_server

  4. Access the Web Interface: Open a web browser and navigate to http://localhost:<port>/main.html (replace <port> with the port number specified in the Makefile).

  5. Apply Filters via Web Interface: Use the web interface to upload images and apply filters.

Directory Structure

  • filters/: Contains the compiled image filter executables.
  • images/: Contains sample bitmap images for testing.
  • src/: Contains the source code for the image filters and web server.
  • Makefile: Instructions for compiling the project.

Acknowledgements

Original author credit to David Liu for the project outline and initial code structure.


Feel free to adjust or expand upon this README as needed to better fit your project details.