Digital Image Processing - RAW Image Median Filter

This project implements a median filter for processing raw RGB images using C++. The code reads a raw image file, applies a median filter with varying filter sizes, and saves the filtered images back to disk.

Overview

The median filter is a non-linear filter used to remove noise from images while preserving edges. This implementation processes RGB images stored in raw format, allowing for customizable filter sizes.

Features

• Read and process raw RGB images.
• Apply median filtering with adjustable filter sizes.
• Save the filtered images in raw format.
• Supports OpenCV for potential enhancements and additional image processing capabilities.

Code Structure

The main components of the code include:

1. Image Reading: Function to read raw images into a vector.
2. Median Filter Application: Function to apply a median filter across the image.
3. Image Saving: Function to save the processed image back to a raw file.
4. Main Function: Orchestrates the reading, processing, and saving of images.

Functions

• std::vector<uint8_t> readRawImage(const std::string& filename, int width, int height): Reads a raw image file and returns the pixel data as a vector.
• std::vector<uint8_t> applyMedianFilter(const std::vector<uint8_t>& inputImage, int width, int height, int filterSize): Applies a median filter to the input image and returns the filtered image.
• void saveRawImage(const std::string& filename, const std::vector<uint8_t>& image, int width, int height): Saves the processed image to a specified file.

Dependencies

• C++ Standard Library: For basic input/output and data structures.
• OpenCV: For advanced image processing capabilities (optional for this implementation, but recommended for future enhancements).

Installation

1. Ensure you have a C++ compiler installed (e.g., g++, clang).
2. Install OpenCV if you plan to use its functionalities.
3. Clone this repository or download the source code files.
4. Compile the code using a command like:

   g++ -o median_filter testing_filter_code.cpp `pkg-config --cflags --libs opencv4`