In this project, the goal is to design and implement a desktop program that illustrates the significance of magnitude and phase components, emphasizing frequency contributions within a 2D signal, particularly images. The software incorporates various features to enhance user interaction and customization.

• Features
• Getting Started
• Usage
• Contributors

• Open 4 Images: Load Images visualization and processing.

• Visualize image components: Visualize the 4 components of each image: Magnitude, Phase, Real, and Imaginary.

• Real time brightness and contrast control: Adjust the brightness and contrast to meet your requirements.

• Image Mixer: Create a new image by mixing either phase and magnitude or imaginary and real in an intuitve way.

• Regions Mixer: Mask the regions you want to mix with a single click and drag.

• Python 3.6 or higher
• PyQt6

1. Clone this repository to your local machine.

git clone https://github.com/Bodykudo/Image-Mixer.git

2. Install the required dependencies.

pip install requirements.txt

3. Run the application.

python main.py

1. Open Images:

   • Double click the "image port" to select an image for visualization.

2. Brightness and Contrast Control:

   • Scroll your cursor horizontally for contrast control and vertically for brightness control.

3. Image Mixer:

   • Choose the mixing mode magnitude/phase or real/imaginary.
   • Use sliders to adjust the components weights percentages.
   • Click "Convert" to start mixing.

4. Regions Mixer:

   • Choose the inner or outer mode then use the mouse to select your ROI.

Abdallah Magdy

Abdelrahman Emad

Mohamed Alaa

Mohamed Ibrahim

Enjoy working with Image Mixing!