The Representation Of Quantum Multimedia Information And The Study Of Its Information Processing Algorithm

In recent years,with the rapid development of quantum information quantum computing technology.A number of quantum computer prototyp es followed.Quantum multimedia information technology as an importan t application on quantum computers has been greatly developed.Image pr ocessing and video processing on classical computers are the core of class ical multimedia technology,and quantum image processing and quantum video processing on quantum computers are the core of quantum multime dia technology.Compared with classical image processing and video proc essing technology,quantum image processing and quantum video process ing technology are far stronger than classical image processing and video processing technology in terms of storage and processing capabilities of i mage and video information by the natural parallel computing advantages of quantum computing and superposition entanglement.Therefore,quant um multimedia information technology based on quantum image processi ng and quantum video processing has important research value and applic ation prospects in the future quantum era.According to the existing research results,this paper studies the repr esentation model and application algorithm of quantum image processing algorithm and quantum video.The main research work is as follows:（1）It is aimed at the situation that there are few applied algorithms fo r color quantum image processing at present.Based on the Quantum Repr esentation of Multi Wavelength Images（QRMW）,a hue transformation o perator and a color scrambling operator are proposed.The color scale tran sformation algorithm is very simple but works well,modifying the color s cale of an image by using a CNOT gate or a SWAP gate to change the ord er of the color channels of a QRMW image.The pixel color-based scramb ling algorithm achieves the scrambling effect by changing the original pix el color through the NOT gate,CNOT gate and SWAP gate without chan ging the pixel position.The time complexity of the algorithm is O（1）,and it has good robustness and strong information hiding ability.The QRMW image and two kinds of operators are experimentally verified on the IBM Qiskit quantum simulation platform,which proves the feasibility and effe ctiveness of the proposed operator.（2）Aiming at the problem that the existing quantum video representa tion framework needs to consume more qubit resources to represent quant um video,this paper proposes an Efficient Framework for Quantum Vide o（EFQV）.The EFQV quantum video representation framework is based o n A Quantum Image Representation Based on Bitplanes（BRQI）.By addin g a time index sequence,BRQI images are integrated into quantum video according to time information.The proposed EFQV quantum video prepa ration framework only requires 2n+m+4 qubits for 2^m frame 2ⁿ×2ⁿ graysc ale video representing,and the time complexity is O!16（n+m）2^2（n+m）";o nly requires 2n+m+6 qubits for 2^m frame 2ⁿ×2ⁿ colorscale video represen ting,and the time complexity is O!64（n+m）2^2（n+m）".Compared with the existing quantum video framework,the EFQV quantum video representat ion framework has a significant space storage advantage under the same ti me complexity;under the similar space complexity,the EFQV quantum v ideo representation framework has a significant time efficiency advantage.（3）To further illustrate the high efficiency of the EFQV quantum vid eo representation framework.Based on the EFQV quantum video represe ntation framework,three video processing operators are proposed,which realize the color complement operation,frame displacement operation and scrambling operation of EFQV video respectively.The time complexity of the color complement operator and the scrambling operator in the EFQ V quantum video representation framework is O（1）,which is much smalle r than the time complexity of these two video processing operators in othe r quantum video representation models.The frame shift operator targets ti me series in quantum video sequences,so this operator has consistent tim e complexity across all quantum video representation frameworks.This fu rther proves the efficiency of the EFQV quantum video representation fra mework,and also lays a foundation for future research on video processin g algorithms based on the EFQV quantum video representation framewor k.At the same time,the EFQV video was prepared on the IBM Qiskit qua ntum simulation platform,and the three proposed operators were impleme nted on the EFQV video.