RAR and ZIP are two popular compression formats, each with their strengths. RAR generally offers a higher compression ratio, meaning it can create smaller archives compared to ZIP. However, ZIP has broader compatibility, with most operating systems having built-in support. When deciding between RAR...
Fractal image compression is based on the self similarity of an image, meaning an image having similarity in majority of the regions. We take this opportunity to implement the compression algorithm and monitor the effect of it using both parallel and sequential implementation. Fractal compression has...
The clever part comes when he organises the words alphabetically, meaning that the 20-bit numbers representing each word are in numerical order. Thus instead of storing the full number he could store the difference between it and its predecessor. With a few extra tweaks he was able to get ...
Advanced codecs like H.265 require moreprocessing capacity,which could be a limiting factor for somemobile computing devices(MCD). Content complexity Videos with fast-moving objects or high levels of detail need to retain more data to maintain quality. In contrast, static or slow-moving content ...
Compressive Sensing(CS) refers to a sensing scheme in which perceived signals are compressed at the time of sensing, which allows for reliable sampling at a lower rate than the Nyquist rate[92]. This is only plausible if the sensed signal is sparse and compressible, meaning a signal that con...
applications, a short prefix indicates a large address space, meaning that a large number of addresses are used. It is difficult for most carriers to provide a 48/ or even 32/ Global Unicast Address (GUA) prefix for SRv6 deployment. Therefore, to ensure compression efficiency, only local ...
11. In a computing environment comprising one or more index lists, wherein at least one of the one or more index lists comprises at least a portion of the list that is compressed, a method of reading portions of a compressed index list, the method comprising: (a) reading an entry from...
In image classification, the raw data fed into a DL machine are the pixel values of an image to be classified. Note that the meaning of raw data in the context of DL here is with respect to subsequently extracted features but not in the context of compression. In the whole pipeline of ...
Lossless compression involves compressing data in such a way that the original data set is fully reconstructed upon reversal of compression. This is in contrast to "lossy" compression, where some data may be lost in the reversal process. Advertisements Lossless compression is also known as lossles...
Several assumptions have been made in this work: we assume perfect state feedback for the DRTO, meaning that we can measure the health indicator state directly and without errors. This is somewhat unrealistic. In practice, we need to estimate the health indicator from other measurements. In the...