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2. Weissman score - Wikipedia

   en.wikipedia.org/wiki/Weissman_score

   The Weissman score is a performance metric for lossless compression applications. It was developed by Tsachy Weissman, a professor at Stanford University, and Vinith Misra, a graduate student, at the request of producers for HBO's television series Silicon Valley, a television show about a fictional tech start-up working on a data compression algorithm.

3. Fractal compression - Wikipedia

   en.wikipedia.org/wiki/Fractal_compression

   2 triangles, example to show how fractal compression works. Fractal compression is a lossy compression method for digital images, based on fractals.The method is best suited for textures and natural images, relying on the fact that parts of an image often resemble other parts of the same image. [1]

4. Kilobyte - Wikipedia

   en.wikipedia.org/wiki/Kilobyte

   The kilobyte is a multiple of the unit byte for digital information.. The International System of Units (SI) defines the prefix kilo as a multiplication factor of 1000 (10 3); therefore, one kilobyte is 1000 bytes. [1]

5. Lossless compression - Wikipedia

   en.wikipedia.org/wiki/Lossless_compression

   Lossless compression is a class of data compression that allows the original data to be perfectly reconstructed from the compressed data with no loss of information. Lossless compression is possible because most real-world data exhibits statistical redundancy. [1]

6. compress (software) - Wikipedia

   en.wikipedia.org/wiki/Compress_(software)

   compress is a Unix shell compression program based on the LZW compression algorithm. [1] Compared to gzip's fastest setting, compress is slightly slower at compression, slightly faster at decompression, and has a significantly lower compression ratio. [2] 1.8 MiB of memory is used to compress the Hutter Prize data, slightly more than gzip's ...

7. Lifting scheme - Wikipedia

   en.wikipedia.org/wiki/Lifting_scheme

   Lifting sequence consisting of two steps. The lifting scheme is a technique for both designing wavelets and performing the discrete wavelet transform (DWT). In an implementation, it is often worthwhile to merge these steps and design the wavelet filters while performing the wavelet transform.