Many methods of lossy compression have been developed; however, a family of techniques called transform compression has proven the most valuable. The best example of transform compression is embodied ...

Images transmitted over the world wide web are an excellent example of why data compression is important. Suppose we need to download a digitized color photograph over a computer's 33.6 kbps modem. If ...

In previous episodes of this long-running series looking at the world of high-quality audio, at every point we’ve stayed in the real world of physical audio hardware. From the human ear to the ...

Lossy compression techniques reduce the size of large scientific datasets by selectively discarding or coarsening data elements that contribute least to the overall information content. Unlike ...

People mix up the two types of audio compression all the time. Dynamic range and lossy compression are very different things. Ex-movie theater projectionist Steve Guttenberg has also worked as a ...

We present a new lossy compression algorithm for statistical floating-point data through a representation learning with binary variables. The algorithm finds a set of basis vectors and their binary ...

Data Compression is one of the most important components of this world, driven by petabytes of data daily. We, as humans, are generating data every second. From walking to running, eating to drinking, ...

Yes, I understand why the initial compression of a bitmap (not necessarily a .BMP) to a JPEG is lossy, via the quantization step after DCT. But if I decompress a JPEG back to a new bitmap, and then re ...