A Novel Quantum Image Compression Method Based on JPEG

TL;DR

This paper introduces a quantum image compression method based on JPEG that reduces preparation operations and achieves higher compression ratios using GQIR representation and quantum techniques.

Contribution

It presents a novel quantum image compression scheme leveraging JPEG principles and GQIR, improving efficiency and compression ratio over previous quantum methods.

Findings

Higher compression ratio demonstrated

Reduced quantum image preparation operations

Effective use of JPEG coefficients in quantum domain

Abstract

Quantum image processing has been a hot topic. The first step of it is to store an image into qubits, which is called quantum image preparation. Different quantum image representations may have different preparation methods. In this paper, we use GQIR (the generalized quantum image representation) to represent an image, and try to decrease the operations used in preparation, which is also known as quantum image compression. Our compression scheme is based on JPEG (named from its inventor: the Joint Photographic Experts Group) --- the most widely used method for still image compression in classical computers. We input the quantized JPEG coefficients into qubits and then convert them into pixel values. Theoretical analysis and experimental results show that the compression ratio of our scheme is obviously higher than that of the previous compression method.