imgProcessing.c - Simple Neural Network for Image Processing

Welcome to imgProcessing.c – a lightweight neural network designed for basic image processing. This simple neural network takes an 8-bit black and white photograph, converts it into a matrix data set, and learns to reproduce a similar image through training.

Key Features:

• Image-to-Matrix Transformation: Converts an 8-bit black and white photograph into a matrix data set suitable for neural network processing.
• Image Reproduction: Trains the neural network to reproduce a similar image as the input through a learning process.

Usage:

1. Ensure your input image is an 8-bit black and white photograph.
2. Customize the parameters and training process in main.c based on your image data.
3. After run the code you can see the Best value for maximum epochs and substitute the value into the variable for better training of the neural network
4. Compile gcc main.c and run the code a.exe path-to-image :-)

Introduction to the training:

Happy coding!