Paper
9 September 2022 Dictionary learning algorithm based on decision-making grey wolf optimization
Xiuli Du, Ting Liang, Zenghui Si, Han Yu
Author Affiliations +
Proceedings Volume 12328, Second International Conference on Optics and Image Processing (ICOIP 2022); 123281R (2022) https://doi.org/10.1117/12.2644242
Event: Second International Conference on Optics and Image Processing (ICOIP 2022), 2022, Taian, China
Abstract
In order to improve the dictionary sparsity of image compression perception, enhance the noise suppression ability of the dictionary and improve the quality of image reconstruction, a k-singular value decomposition dictionary learning algorithm based on decision-making gray wolf optimization is proposed. In this method, the decision-making grey wolf optimization algorithm is introduced into the atom update stage of k-singular value decomposition dictionary learning algorithm to further optimize the atoms, so as to effectively improve the sparse representation performance of the dictionary. At the same time, a priori experience is introduced into the grey wolf optimization model to guide the optimization direction-making of the wolf pack, and the motion dimension of the wolf pack is reasonably limited. The experimental results show that in the two image data sets, the dictionary trained by the dictionary learning algorithm optimized by the decision-making wolf has stronger sparse representation ability of the image, better image reconstruction effect, and has certain significance to suppress the noise of the image itself.
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Xiuli Du, Ting Liang, Zenghui Si, and Han Yu "Dictionary learning algorithm based on decision-making grey wolf optimization", Proc. SPIE 12328, Second International Conference on Optics and Image Processing (ICOIP 2022), 123281R (9 September 2022); https://doi.org/10.1117/12.2644242
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KEYWORDS
Reconstruction algorithms

Associative arrays

Chemical species

Optimization (mathematics)

Image restoration

Signal to noise ratio

Image quality

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