This dataset is used to compressive sensing scenes and assist users in training the optimal sparsity threshold. The input features are image compression ratio, image size, and sparsity, while the label field is the optimal sparsity threshold. The test images are from the USC-SIPI dataset. 

DOI Link: 
10.21227/nfp9-ah31
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Dataset Files

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[1] Wenhao Liu, "The Sparsity and optimal sparsity threshold of images in the USC-SIPI dataset", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/nfp9-ah31. Accessed: Dec. 30, 2024.
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doi = {10.21227/nfp9-ah31},
url = {http://dx.doi.org/10.21227/nfp9-ah31},
author = {Wenhao Liu },
publisher = {IEEE Dataport},
title = {The Sparsity and optimal sparsity threshold of images in the USC-SIPI dataset},
year = {2024} }
TY - DATA
T1 - The Sparsity and optimal sparsity threshold of images in the USC-SIPI dataset
AU - Wenhao Liu
PY - 2024
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Wenhao Liu. (2024). The Sparsity and optimal sparsity threshold of images in the USC-SIPI dataset. IEEE Dataport. http://dx.doi.org/10.21227/nfp9-ah31
Wenhao Liu, 2024. The Sparsity and optimal sparsity threshold of images in the USC-SIPI dataset. Available at: http://dx.doi.org/10.21227/nfp9-ah31.
Wenhao Liu. (2024). "The Sparsity and optimal sparsity threshold of images in the USC-SIPI dataset." Web.
1. Wenhao Liu. The Sparsity and optimal sparsity threshold of images in the USC-SIPI dataset [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/nfp9-ah31
Wenhao Liu. "The Sparsity and optimal sparsity threshold of images in the USC-SIPI dataset." doi: 10.21227/nfp9-ah31