High Speed Lossless Image Compression
By Hendrik Siedelmann, Alexander Wender, Martin Fuchs. 2015
We introduce a simple approach to lossless image compression, which makes use of SIMD vectorization at every processing step to provide very high speed on modern CPUs. This is achieved by basing the compression on delta coding for prediction and bit packing for the actual compression, allowing a tuneable tradeoff between efficiency and speed, via the block size used for bit packing. The maximum achievable speed surpasses main memory bandwidth on the tested CPU, as well as the speed of all previous methods that achieve at least the same coding efficiency.
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Citations in the corpus
- What is the State of Neural Network Pruning? (2020, background): “…is also widespread misuse of the term “compression ratio,” which the compression literature has long used to mean original size compressed size (Siedelmann et al., 2015; Zukowski et al., 2006; Zhao et al., 2015; Lindstrom, 2014; Ratanaworabhan et al., 2006; Blalock et al., 2018), but many…”