Quaternion quantum image representation: new models

2020 ◽  
Author(s):  
Artyom M. Grigoryan ◽  
Sos S. Agaian
Keyword(s):  
Image Representation ◽  
Quantum Image ◽  
New Models ◽  
Quantum Image Representation

scholarly journals An improved novel quantum image representation and its experimental test on IBM quantum experience

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jie Su ◽  
Xuchao Guo ◽  
Chengqi Liu ◽  
Shuhan Lu ◽  
Lin Li
Keyword(s):  
Image Processing ◽  
Information Processing ◽  
Quantum Information ◽  
Quantum Information Processing ◽  
Image Representation ◽  
Reference Value ◽  
Vertical Position ◽  
Quantum Image ◽  
Quantum Image Representation ◽  
Ibm Quantum Experience

AbstractQuantum image representation (QIR) is a necessary part of quantum image processing (QIP) and plays an important role in quantum information processing. To address the problems that NCQI cannot handle images with inconsistent horizontal and vertical position sizes and multi-channel image processing, an improved color digital image quantum representation (INCQI) model based on NCQI is proposed in this paper. The INCQI model can process color images and facilitate multi-channel quantum image transformations and transparency information processing of images using auxiliary quantum bits. In addition, the quantum image control circuit was designed based on INCQI. And quantum image preparation experiments were conducted on IBM Quantum Experience (IBMQ) to verify the feasibility and effectiveness of INCQI quantum image preparation. The prepared image information was obtained by quantum measurement in the experiment, and the visualization of quantum information was successfully realized. The research in this paper has some reference value for the research related to QIP.

A novel enhanced quantum image representation based on bit-planes for log-polar coordinates

2022 ◽  
Vol 22 (1&2) ◽  
pp. 17-37
Author(s):  
Xiao Chen ◽  
Zhihao Liu ◽  
Hanwu Chen ◽  
Liang Wang
Keyword(s):  
Color Image ◽  
Image Representation ◽  
Polar Coordinates ◽  
Quantum Cost ◽  
Color Information ◽  
Simulation Experiments ◽  
Quantum Image ◽  
Comparison Results ◽  
Bit Planes ◽  
Quantum Image Representation

Quantum image representation has a significant impact in quantum image processing. In this paper, a bit-plane representation for log-polar quantum images (BRLQI) is proposed, which utilizes $(n+4)$ or $(n+6)$ qubits to store and process a grayscale or RGB color image of $2^n$ pixels. Compared to a quantum log-polar image (QUALPI), the storage capacity of BRLQI improves 16 times. Moreover, several quantum operations based on BRLQI are proposed, including color information complement operation, bit-planes reversing operation, bit-planes translation operation and conditional exchange operations between bit-planes. Combining the above operations, we designed an image scrambling circuit suitable for the BRLQI model. Furthermore, comparison results of the scrambling circuits indicate that those operations based on BRLQI have a lower quantum cost than QUALPI. In addition, simulation experiments illustrate that the proposed scrambling algorithm is effective and efficient.

QIRHSI: novel quantum image representation based on HSI color space model

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Guang-Long Chen ◽  
Xian-Hua Song ◽  
Salvador E. Venegas-Andraca ◽  
Ahmed A. Abd El-Latif
Keyword(s):  
Image Representation ◽  
Color Space ◽  
Quantum Image ◽  
Space Model ◽  
Hsi Color Space ◽  
Quantum Image Representation

scholarly journals A Quantum Image Representation Based on Bitplanes

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 62396-62404 ◽  
Author(s):  
Hai-Sheng Li ◽  
Xiao Chen ◽  
Haiying Xia ◽  
Yan Liang ◽  
Zuoshan Zhou
Keyword(s):  
Image Representation ◽  
Quantum Image ◽  
Quantum Image Representation

A theoretical framework for quantum image representation and data loading scheme

2014 ◽  
Vol 57 (3) ◽  
pp. 1-11 ◽  
Author(s):  
BenQiong Hu ◽  
XuDong Huang ◽  
RiGui Zhou ◽  
YanYu Wei ◽  
Qun Wan ◽  
...  
Keyword(s):  
Image Representation ◽  
Theoretical Framework ◽  
Quantum Image ◽  
Data Loading ◽  
Quantum Image Representation ◽  
Loading Scheme

Image Processing Using Quantum Computing

2021 ◽  
pp. 186-201
Author(s):  
Bably Dolly ◽  
Deepa Raj
Keyword(s):  
Image Processing ◽  
Quantum Computing ◽  
Image Representation ◽  
Research Papers ◽  
Quantum Image ◽  
Current Scenario ◽  
Pros And Cons ◽  
Recent Trends ◽  
Classical Image ◽  
Quantum Image Representation

Image processing via the quantum platform is an emerging area for researchers. Researchers are more interested to move on towards quantum image processing instead of classical image processing. This chapter starts with the review of different quantum image computing-based research papers with a brief idea of the ethics which inspire quantum computing in the background and focus on the current scenario of recent trends of quantum image representation, pitfalls, and summarization of the pros and cons of it, with the limitations of the technologies used and focus on the recent work to be going on and application of it in a different field. In the next, it will focus on the different methods used by the researcher in the previous papers. The next section discussed the different methods based on quantum image representation used. Some different techniques of image storage, retrieval, and representation in a quantum system are discussed. Also, this chapter briefs the pros and cons of using different techniques in quantum systems in comparison to classical systems.

Quantum Image Representation on Clusters

2021 ◽  
Author(s):  
Arijit Mandal ◽  
Shreya Banerjee ◽  
Prasanta K. Panigrahi
Keyword(s):  
Image Representation ◽  
Quantum Image ◽  
Quantum Image Representation

Image Representation, Filtering, and Natural Computing in a Multivalued Quantum System

2016 ◽  
pp. 28-56 ◽  
Author(s):  
Sanjay Chakraborty ◽  
Lopamudra Dey
Keyword(s):  
Image Processing ◽  
Quantum System ◽  
Quantum Physics ◽  
Image Representation ◽  
Quantum Image Processing ◽  
Natural Computing ◽  
Quantum Image ◽  
Image Pixels ◽  
Classical Image ◽  
And Storage

Image processing on quantum platform is a hot topic for researchers now a day. Inspired from the idea of quantum physics, researchers are trying to shift their focus from classical image processing towards quantum image processing. Storing and representation of images in a binary and ternary quantum system is always one of the major issues in quantum image processing. This chapter mainly deals with several issues regarding various types of image representation and storage techniques in a binary as well as ternary quantum system. How image pixels can be organized and retrieved based on their positions and intensity values in 2-states and 3-states quantum systems is explained here in detail. Beside that it also deals with the topic that focuses on the clear filteration of images in quantum system to remove unwanted noises. This chapter also deals with those important applications (like Quantum image compression, Quantum edge detection, Quantum Histogram etc.) where quantum image processing associated with some of the natural computing techniques (like AI, ANN, ACO, etc.).

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