Lossy-Compression Artifact Reduction
2 papers with code • 0 benchmarks • 0 datasets
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Most implemented papers
Image Reconstruction with Predictive Filter Flow
We propose a simple, interpretable framework for solving a wide range of image reconstruction problems such as denoising and deconvolution.
CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary Coding
In this work, we demonstrate how one can leverage the correlation across several related time series streams to both drastically improve the compression efficiency and reduce the accuracy loss. We present a novel compression algorithm for time series streams called CORAD (CORelation-Aware compression of time series streams based on sparse Dictionary coding).