PixelIt – Image Processing & Editing Application

PixelIt is a desktop image processing and editing application built with C++, Qt (QML + Qt Core), and OpenCV. The project focuses on efficient image manipulation, real-time preview, and a clean, extensible architecture suitable for advanced computer vision and image processing workflows.

Pixelit is designed as a lightweight yet powerful image editor, showcasing strong fundamentals in image processing, UI-to-native integration, and performance-oriented C++ development.

• Features

• Image Processing & Editing

Load and process images using OpenCV

Real-time preview of applied transformations

Non-destructive editing pipeline (operations applied in sequence)

• Transformations

• Zoom (aspect-ratio preserved)
• Rotate
• Crop
• Resize

• Filters

• Grayscale
• Sepia
• Gaussian Blur
• Sharpen
• Edge Detection

• Image Adjustments

• Brightness
• Contrast
• Saturation
• Exposure
• Invert Colors
• Grayscale (adjustment mode)
• Sepia (adjustment mode)
• Sharpen (intensity-based)

• Architecture Highlights

Clean separation between UI (QML) and image processing logic (C++ / OpenCV) Modular filter and adjustment pipeline Designed for easy extension (new filters or tools can be added without refactoring core logic) Thread-safe image processing for smooth UI interaction

• Technologies Used

• C++ (C++17)
• Qt 6
• Qt Quick (QML)
• Qt Core / GUI
• OpenCV
• CMake
• QML Image Provider
• Multithreading (std::thread)

• Image Processing Techniques

Pixelit uses classic and efficient image processing techniques provided by OpenCV:

• Filters & Effects

• Color space conversions (BGR ↔ Gray)
• Convolution-based filters (Gaussian Blur, Sharpen)
• Edge detection (Sobel / Canny-based)
• Pixel-level transformations (Invert, Sepia)

• Adjustments

• Linear and non-linear pixel intensity mapping
• Contrast stretching
• Brightness and exposure correction
• Saturation manipulation in HSV color space

• Setup & Development

##Prerequisites

Make sure you have the following installed:

• Qt 6.x
• Qt Quick
• Qt Widgets
• OpenCV
• CMake ≥ 3.16
• C++17 compatible compiler
• MSVC / GCC / Clang

• OpenCV Setup

Ensure OpenCV is correctly installed and accessible. Example (Windows):

# Clone the repository
git clone https://github.com/Muhammedsuwaneh/pixelit-image-processor.git

# Navigate to the project folder
cd pixelit

In your CMakeLists.txt:

set(OpenCV_DIR "C:/opencv/build")
find_package(OpenCV REQUIRED)

Verify: OpenCV core modules are detected Image loading and processing work correctly

• Build the Project

mkdir build
cd build
cmake ..
cmake --build .

Or open the project directly in Qt Creator and configure it with CMake.

• Run the Application

After building: Run from Qt Creator, or Execute the generated binary from the build directory Make sure: Image files are accessible Required OpenCV DLLs / shared libraries are in the runtime path

• Version

1.0.0

• Licensed

Under MIT - Copyright 2025/2026