International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 17, No. 5, 8 Oct. 2025
Cover page and Table of Contents: PDF (size: 1001KB)
In-depth Study of Quantum Hadamard Gate Edge Detection: Complexity Analysis, Experiments, and Future Directions
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Author(s)
Ridho Nur Rohman Wijaya
1
Budi Setiyono
1,*
Dwi Ratna Sulistyaningrum
1
Index Terms
Image Processing, Quantum Computation, Quantum Image Processing, Quantum Edge Detection, Quantum Hadamard Edge Detection
Abstract
Quantum computing is a rapidly developing field with faster computational capabilities than classical computing. The popularity of quantum computing has reached the field of image processing, particularly with a breakthrough method known as Quantum Hadamard Edge Detection. This approach represents a significant advancement in edge detection techniques using quantum computing. Quantum Hadamard Edge Detection is a method that can detect image edges more quickly than classical methods with exponential acceleration. This paper explains the Quantum Hadamard Edge Detection method in detail, including how it is implemented, a time complexity explanation, some experiments, and future research directions. Our experiments utilize a quantum computer simulator and employ four measurement metrics: Structural Similarity Index, Figure of Merit, Entropy, and a Proposed Metric with radius-based features, to detect simple binary images, MNIST images, and the Berkeley Segmentation datasets. We recognize the potential of quantum computing and believe that image processing with quantum representation will make processing more efficient and significantly valuable in the future.
Cite This Paper
Ridho Nur Rohman Wijaya, Budi Setiyono, Dwi Ratna Sulistyaningrum, "In-depth Study of Quantum Hadamard Gate Edge Detection: Complexity Analysis, Experiments, and Future Directions", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.17, No.5, pp. 14-25, 2025. DOI:10.5815/ijigsp.2025.05.02
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