2024 Quantum wavelet transform

Quantum wavelet transform

Author: cjnh

August undefined, 2024

WebWavelet transforms are used to expose the multi-scale structure of a signal and very useful for image processing and data compression. In this paper, we construct quantum algorithms for Haar wavelet transforms and show its application in analyzing the multi-scale structure of the dynamical system by the Logistic Map (x→ λx(1− x)), where λ ... WebJun 1, 2024 · Aiming at low security of traditional encryption methods, a new image encryption algorithm based on discrete fractional wavelet transform (DFRWT) and quantum Logistic mapping is proposed in this paper. Firstly, p-order multiscale decomposition is performed for the original image, with DFRWT regarded as decomposition tool.

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WebOne of the most remarkable quantum algorithms is Shor’s algorithm. This algorithm basically depends on quantum Fourier transform (QFT). As we know the Fourier transform is good for analyzing the periodicity of a func-tion, but wavelet transform is able to analyze the multiscale structure of the function. WebThe classical wavelet transform has been widely applied in the information processing field. It implies that quantum wavelet transform (QWT) may play an important role in quantum information processing. This chapter firstly describes the iteration equations of the general QWT using generalized tensor product. deleting twitch

Multilevel 2-D Quantum Wavelet Transforms - IEEE Xplore

WebApr 1, 2024 · The quantum S-Transform uses the Haar wavelet and allows mapping from integer to integer values due to the rounding operation involved in the transformation. The construction method for achieving signal decomposition is based on the lifting scheme (see Section 2 ), exploiting the spatial (or temporal) properties of the signal as the classical … WebJun 1, 2024 · In this paper, a new scheme for quantum watermarking based on quantum wavelet transforms is proposed which includes scrambling, embedding and extracting … WebNov 4, 2024 · Based on the same family of order Morse wavelets, the wavelet transform is applied to the element model. The result generates a logarithmically spaced frequency array, where the frequency array is angular or radian frequency. Equation describes the relationship between radian frequency and analog frequencies, where is the sampling frequency. deleting trash on android phone

Quantum multi-level wavelet transforms - ScienceDirect

An Image Denoising Technique using Quantum Wavelet Transform

WebSep 17, 2024 · The classical wavelet packet transform has been widely applied in the information processing field. It implies that the quantum wavelet packet transform … WebApr 9, 2024 · In this paper, we propose a novel method for 2D pattern recognition by extracting features with the log-polar transform, the dual-tree complex wavelet transform (DTCWT), and the 2D fast Fourier transform (FFT2). Our new method is invariant to translation, rotation, and scaling of the input 2D pattern images in a multiresolution way, … fermin balbasWebIn this paper, quantum algorithms for Haar wavelet transforms are constructed and their application in analyzing the multi-scale structure of the dynamical system by the Logistic Map is shown. Fourier transform has been shown to be a powerful tool in many area of science. However, there is another class of unitary transforms, the wavelet transforms, … deleting trash on mac

"WebFeb 10, 2024 · The wavelet transform can help convert the signal into a form that makes it much easier for our peak finder function. Here I use the maximal overlap discrete wavelet transform (MODWT) to extract R-peaks from the ECG waveform. I’m using the symlet wavelet with four vanishing moments (sym4) at seven different scales. " - Quantum wavelet transform

Quantum wavelet transform

WebThe pivotal need to identify people requires efficient and robust schemes to guarantee high levels of personal information security. This paper introduces an encryption algorithm to … WebWavelet transform is being widely used in classical image processing. One-dimension quantum wavelet transforms (QWTs) have been proposed. Generalizations of the 1-D QWT into multilevel and multidimension have been investigated but restricted to the quantum wavelet packet transform (QWPTs), which is the direct product of 1-D QWPTs, and there …

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WebOct 21, 2024 · The amalgamation of ‘Quantum computing’ with image processing represents the various ways of handling images for different purposes. In this paper,an image … WebJan 27, 2024 · Abstract: Wavelet transform is being widely used in classical image processing. One-dimension quantum wavelet transforms (QWTs) have been proposed. Generalizations of the 1-D QWT into multilevel and multidimension have been investigated but restricted to the quantum wavelet packet transform (QWPTs), which is the direct …

WebNov 6, 2015 · Google scholar shows about 19,500 results for 'quantum mechanics wavelet'; many of those are just incidental mentions of QM on wavelet papers but there are lots of … WebJun 1, 2024 · In 2013, using the flexible representation of quantum image, [ 29] a quantum watermarking scheme based on quantum wavelet transform (QWT) was proposed by Song et al., [ 30] where, to control the embedding strength a dynamic vector was used. In this scheme, the wavelet coefficients are extracted by executing QWT on quantum image.

WebAs one of the important branches of quantum image processing, quantum image watermarking technology has been studied by many related personnel. However, most of them are performed in the time domain, and there are relatively few algorithms for quantum image watermarking in the transform domain. This paper proposes a quantum image … WebApr 5, 2024 · The linear canonical deformed Hankel transform is a novel addition to the class of linear canonical transforms, which has gained a respectable status in the realm of signal analysis. Knowing the fact that the study of uncertainty principles is both theoretically interesting and practically useful, we formulate several qualitative and quantitative …

WebApr 1, 2024 · The quantum S-Transform uses the Haar wavelet and allows mapping from integer to integer values due to the rounding operation involved in the transformation. The …

WebAbstract: In this paper, a novel frequency domain quantum watermarking scheme is proposed based on the Flexible Representation of Quantum Images, which can embed a 2 n1 × 2 n1 binary watermark image into a 2 n × 2 n grayscale carrier image. The quantum Haar wavelet transform is developed and used to decompose quantum images. The … fermin bustamanteWebMay 1, 2009 · Recently,efficient and complete quantum algorithms for two representative wavelet transforms (quantum Haar and quantum Daubechies of fourth order) have been proposed. Inthis paper, we generalize these algorithms in order to they can be applied to Daubechieswavelet kernels of any order. Specifically, we develop a method that efficiently ... fermin aguayoWebDec 1, 2024 · The classical wavelet transform has been widely applied in the information processing field. It implies that quantum wavelet transform (QWT) may play an important … fermin bc weatherWebNov 22, 2024 · Combine the block-based geometric transformation and Haar wavelet transform, this paper proposes a quantum image encryption for the flexible … deleting trashed mail on iphoneWebThe quantum Fourier transform (QFT), a quantum analog of the classical Fourier transform, has been shown to be a powerful tool indeveloping quantumalgorithms. However, … deleting twitter followersWebDec 31, 2024 · Wavelet transform is being widely used in the field of information processing. One-dimension and two-dimension quantum wavelet transforms have been investigated … fermin bocanegraWebJan 27, 2024 · Abstract: Wavelet transform is being widely used in classical image processing. One-dimension quantum wavelet transforms (QWTs) have been proposed. … fermin berria