This research presents a novel architectural paradigm for digital image and video processing systems, featuring an integrated graphical user interface component designed to facilitate interactive operation. The framework integrates multiple image processing techniques including edge detection, smoothing, geometric transformations, morphological operations, seg- mentation, enhancement, color space manipulation, and noise management within a cohesive environment. The implementation leverages computer vision libraries and modern GUI components to provide real-time visual feedback, mathematical equation display, and intuitive parameter control. Experimental evaluations demonstrate the effectiveness of the framework for both educational purposes and practical image analysis tasks. The system’s modular architecture enables extensibility and facilitates incorporation of additional algorithms. Performance analysis indicates the framework maintains interactive response rates across various processing operations while providing high- quality output. This integrated approach addresses the need for accessible, comprehensive tools in digital image processing education and research.
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