Journal
INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS
Volume 57, Issue 3, Pages 611-636Publisher
SPRINGER/PLENUM PUBLISHERS
DOI: 10.1007/s10773-017-3593-2
Keywords
Quantum image compression; Quantum image preparation; Quantum image processing; Quantum computation; JPEG compression
Categories
Funding
- National Natural Science Foundation of China [61502016]
- International Research Cooperation Seed Fund of BJUT
- Joint Open Fund of Information Engineering Team in Intelligent Logistics [LDXX2017KF152]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available