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
Data and software here are used to support the results presented in "Natural selection subsumes and unites multiple theories of perceptual compression" (uploaded to bioRxiv within 24h of this dataset'
Total number of iterations to reach 1% accuracy estimated with and without using the PICG approach in FE simulations on sub-volumes with different number of elements.
