Histogram plays an important statistical role in digital image processing. However, the existing quantum image models are deficient to do this kind of image statistical processing because different gray scales are not distinguishable. In this paper, a novel quantum image representation model is proposed firstly in which the pixels with different gray scales can be distinguished and operated simultaneously. Based on the new model, a fast quantum algorithm of constructing histogram for quantum image is designed. Performance comparison reveals that the new quantum algorithm could achieve an approximately quadratic speedup than the classical counterpart. The proposed quantum model and algorithm have significant meanings for the future researche...
In this work we present Quantum Median Filter, an image processing algorithm for applying Total Vari...
Developing new computing methods and signal processing algorithms byborrowing from the principle of ...
Quantum machine learning, an important element of quantum computing, recently has gained research at...
Processing of digital images is continuously gaining in volume and relevance, with concomitant deman...
The classical image segmentation algorithm based on grayscale morphology can effectively segment ima...
A flexible representation of quantum images (FRQI) was proposed to facilitate the extension of class...
Abstract Quantum image representation (QIR) is a necessary part of quantum image processing (QIP) an...
Component Labeling, as a fundamental preprocessing task in image understanding and pattern recogniti...
Face recognition is one of the most ubiquitous examples of pattern recognition in machine learning, ...
We present a novel quantum algorithm for the classification of images. The algorithm is constructed ...
The need to increase the complexity of computational methods to produce improvements in functional p...
In this study, a powerful representation of Quantum Images (PRQI) is proposed to represent images in...
Developing new computing methods and signal processing algorithms by borrowing from the principle of...
This paper proposes a new algorithm for binarizing the grayscale quantum images represented by novel...
A parallel formulation of an algorithm for the histogram computation of n data items using an on-the...
In this work we present Quantum Median Filter, an image processing algorithm for applying Total Vari...
Developing new computing methods and signal processing algorithms byborrowing from the principle of ...
Quantum machine learning, an important element of quantum computing, recently has gained research at...
Processing of digital images is continuously gaining in volume and relevance, with concomitant deman...
The classical image segmentation algorithm based on grayscale morphology can effectively segment ima...
A flexible representation of quantum images (FRQI) was proposed to facilitate the extension of class...
Abstract Quantum image representation (QIR) is a necessary part of quantum image processing (QIP) an...
Component Labeling, as a fundamental preprocessing task in image understanding and pattern recogniti...
Face recognition is one of the most ubiquitous examples of pattern recognition in machine learning, ...
We present a novel quantum algorithm for the classification of images. The algorithm is constructed ...
The need to increase the complexity of computational methods to produce improvements in functional p...
In this study, a powerful representation of Quantum Images (PRQI) is proposed to represent images in...
Developing new computing methods and signal processing algorithms by borrowing from the principle of...
This paper proposes a new algorithm for binarizing the grayscale quantum images represented by novel...
A parallel formulation of an algorithm for the histogram computation of n data items using an on-the...
In this work we present Quantum Median Filter, an image processing algorithm for applying Total Vari...
Developing new computing methods and signal processing algorithms byborrowing from the principle of ...
Quantum machine learning, an important element of quantum computing, recently has gained research at...