As an interdisciplinary between quantum computing and image processing, quantum image
processing provides more possibilities for image processing due to the powerful parallel …

Efficient quantum circuits for arithmetic operations are vital for quantum algorithms. A fault-
tolerant circuit is required for a robust quantum computing in the presence of noise …

Quantum programs allow to process multiple bits of information at the same time, which is
useful in multidimensional data handling. Images are an example of such multidimensional …

Edge detection is one of the most important techniques in the field of image processing,
which has a great influence on the subsequent research of feature extraction, description …

Based on the modified flexible representation of quantum images, a novel quantum image
encryption algorithm was proposed in this paper. The encryption process performs Arnold …

Based on the NEQR of quantum images, a new quantum gray-scale image watermarking
scheme is proposed through Arnold scrambling and least significant bit (LSB) …

As the basic problem in image processing and computer vision, the purpose of edge
detection is to identify the point where the brightness of the digital image changes obviously …

In recent years, quantum image processing is one of the most active fields in quantum
computation and quantum information. Image scaling as a kind of image geometric …

The discrete cosine transform (DCT) is widely used in image and video compression
standard formats. This is due to its ability to represent signals and images using a limited …

Edge detection, as a fundamental problem in image processing and computer vision, is an
indispensable task in digital image processing. Because of the sharp increase in the image …