Compression algorithms for speech, audio, still images, and video are quite complicated and, more importantly, nearly always lossy. Thus, samples often change dramatically once they’re decompressed.

Real-life data confirms (or contradicts) theoretically derived predictions. In a world seemingly obsessed with lossy compression, lossless codecs also have a place. CPUs’ multimedia-tuned features can ...

Abstract: Lossless image compression has long been recognized as an important need for several applications such as medical imaging, storage of critical IR image sequences and remote sensing. In this ...

As mentioned previously, the characteristics of typical audio signals vary from time to time and therefore we must expect the required bit rate for lossless compression to vary as well. Since the bit ...

Music streaming and image / video transfer are technologies that are indispensable in modern society, but in order to use these technologies, it is indispensable to 'compress a huge file size to a ...

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, ...

Many of today's embedded systems are providing more sophisticated solutions to a wide variety of applications and industries. With this increase in sophistication, there is a corresponding increase in ...

I see awful diminishing returns here. (Lossless) compression of today isn't really that much better than products from the 80s and early 90s - stacker (wasn't it?), pkzip, tar, gz. You get maybe a few ...