Efficient File Compression and Data Representation Using Video Pixels:RGB and Binary Modes
Authors:-Rogith K K, Assistant Professor Mrs. V. Latha Sivasankarı
Abstract-File storage and transfer have become increasingly important in a data-driven world where efficiency and reliability are critical. Traditional file compression techniques often fail when subjected to lossy compression algorithms used in video formats, leading to data corruption. This research introduces a novel approach to encoding file data into video frames using two distinct modes: RGB and binary. RGB encoding maps data bytes to the colour channels of pixels, offering high efficiency, while binary encoding represents each bit as black-and-white pixels, ensuring resilience to compression artifacts. To further enhance user-friendliness, the system embeds encoding settings in the first video frame, automating the decoding process and reducing manual intervention. This hybrid system provides a practical balance between efficiency and robustness, making it suitable for real-world applications such as secure data transfer, archival storage, and multimedia-based information systems. This paper evaluates both encoding modes and proposes solutions to minimize data corruption caused by video compression. The research concludes with potential future enhancements, including hybrid systems that combine RGB and binary encoding, integration with AI-based algorithms for adaptive encoding, and scalability for 4K and 8K video resolutions. These advancements aim to optimize both storage efficiency and data integrity, addressing the growing demand for reliable file storage solutions.
