Quantum Image Morphology Processing Based on Quantum Set Operation

Zhou, Ri-Gui; Chang, Zhi-bo; Fan, Ping; Li, Wei; Huan, Tiantian

doi:10.1007/s10773-014-2402-4

Cited by 16 publications

(3 citation statements)

References 9 publications

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“…Geometric transformation refers to changing the spatial position (coordinate) of pixels, such as image rotation, or changing image shape, like zoom in or out. e realized operations include rotation, the top/ bottom swapping or left/right swapping, the interchange of any two coordinates of the image [15][16][17], erosion and dilation operations [18], image magnification [19,21], and overall translation and cyclic translation of the image [22]. Take FRQI as an example.…”

Section: Geometric Transformationmentioning

confidence: 99%

Quantum Image Processing: Opportunities and Challenges

Ruan

Xue

Shen

2021

Mathematical Problems in Engineering

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Quantum image processing (QIP) is a research branch of quantum information and quantum computing. It studies how to take advantage of quantum mechanics’ properties to represent images in a quantum computer and then, based on that image format, implement various image operations. Due to the quantum parallel computing derived from quantum state superposition and entanglement, QIP has natural advantages over classical image processing. But some related works misuse the notion of quantum superiority and mislead the research of QIP, which leads to a big controversy. In this paper, after describing this field’s research status, we list and analyze the doubts about QIP and argue “quantum image classification and recognition” would be the most significant opportunity to exhibit the real quantum superiority. We present the reasons for this judgment and dwell on the challenges for this opportunity in the era of NISQ (Noisy Intermediate-Scale Quantum).

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Section: Geometric Transformationmentioning

confidence: 99%

Quantum Image Processing: Opportunities and Challenges

Ruan

Xue

Shen

2021

Mathematical Problems in Engineering

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“…In addition to the algorithms described above, there are other quantum image processing algorithms, such as morphology [58,59] , filtering [60] , denoising [61] , comparison [62,63] , searching [64] , etc. While these studies seem piecemeal, they are important to QIP.…”

Section: Other Quantum Image Processing Algorithmsmentioning

confidence: 99%

A Survey on Quantum Image Processing

Cai

Jiang

2018

Chin. j. electron.

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“… We can combine the various data mining techniques with quantum computing methods to recognize different image patterns [46], computer vision [48], automatic surveillance and moreover. Quantum information and quantum computation algorithms are also used in morphological image processing suitable for medical image analysis [45].  Quantum Noise reduction from medical images is a big issue now a days.…”

Section: Research Issuesmentioning

confidence: 99%

Quantum image processing: challenges and future research issues

Chakraborty

Mandal

Shaikh

2018

Int. j. inf. tecnol.

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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.This paper starts with a brief review of the principles which underlie quantum computing, and also deals with some of the basics of qubits and quantum computing.Then this paper starts to deal with some different methods of image storage, representation and retrieval in a quantum system.This paper also describes the advantages of using those methods in quantum systems compare to classical systems. In the next section, a short discussion on some of the important aspects, comparison among them and applications of quantum image processing is presented. A few other hot topics and open problems in quantum image processing are mentioned in this paper. This review article will provide the readership an overview of progress witnessed in the area of Quantum Image processing while also simulating further interest to pursue more advanced research in it.

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Quantum Image Morphology Processing Based on Quantum Set Operation

Cited by 16 publications

References 9 publications

Quantum Image Processing: Opportunities and Challenges

Quantum Image Processing: Opportunities and Challenges

A Survey on Quantum Image Processing

Quantum image processing: challenges and future research issues

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