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Optimization Methods of Compressively Sensed Image Reconstruction Based On Single-Pixel Imaging by ebunakhwa is a document available to read on EtoBox.
The article discusses optimization methods for compressively sensed image reconstruction using single-pixel imaging, addressing issues with traditional methods that fail to meet engineering application standards. It proposes enhancements in sparse signal decomposition and the construction of deterministic binary sensing matrices to improve image reconstruction accuracy and quality. The effectiveness of these methods is validated through numerical simulations and practical imaging experiments.
- Author
- ebunakhwa
- Language
- EN