Quantum Quantumization for Image Processing

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper explores the application of quantum quantumization for image processing, aiming to improve image compression ratios and quality. The core concept involves transforming images into quantum quantumized information, leveraging the unique properties of quantum computing to perform image processing operations. This approach facilitates both image compression and enhancement. We propose a novel framework utilizing quantum techniques to represent and manipulate image data, offering potential advantages over classical methods, particularly for high-resolution images and complex scenes. The theoretical underpinnings of this work are detailed, focusing on the mathematical formulations involved in the quantum encoding, processing, and decoding stages. We demonstrate the feasibility of this approach and suggest future research directions.

DOI: 10.5281/zenodo.22152769

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