Topic: quantum-image-processing Goto Github
Some thing interesting about quantum-image-processing
Some thing interesting about quantum-image-processing
quantum-image-processing,Q-SupCon integrates quantum principles into supervised contrastive learning, enhancing feature learning with minimal labeled data for efficient image classification, especially in medical applications.
User: asithaindrajith
Home Page: https://doi.org/10.1145/3660647
quantum-image-processing,Module for fast encoding and decoding of images into quantum states using the FRQI and NEQR method
User: gltonic
quantum-image-processing,Implementation of Image encoding in FRQI image model and reconstructing the image from the Quantum states,
User: paritoshkc
quantum-image-processing,Bachelor's of Engineering final year project. Completed 2020
User: s1mhadri
quantum-image-processing,piQture: A quantum machine learning library for image processing.
User: saashajoshi
Home Page: https://saashajoshi.github.io/piQture/
quantum-image-processing,Demos and tutorials using piQture and Qiskit
User: saashajoshi
quantum-image-processing,Denoising by Quantum Interactive Patches
User: sayantandutta95
quantum-image-processing,Deep Denoising by Quantum Interactive Patches. A deep neural network called DIVA unfolding a baseline adaptive denoising algorithm (De-QuIP), relying on the theory of quantum many-body physics.
User: sayantandutta95
quantum-image-processing,Signal and image denoising using quantum adaptive transformation.
User: sayantandutta95
quantum-image-processing,Plug-and-Play ADMM scheme based on an adaptive denoiser using the Schroedinger equation's solutions of quantum physics.
User: sayantandutta95
quantum-image-processing,Single image super resolution algorithm RED+ADMM+De-QuIP
User: sayantandutta95
quantum-image-processing,By training and employing a machine learning model that identifies and corrects the noise in quantum processed images, this model can compensate for the noisiness caused by the machine and retrieve a processing result similar to that performed by a classical computer with higher efficiency
User: yifan1207
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