In this chapter, data compression as it relates to multimedia information is studied from the point of view of lossless algorithms, where the input data is essentially exactly recoverable from the compressed data. Lossy algorithms, for which this is not the case, are presented in Chap. 8. ...
Entropy definition is to identify often occurring symbols in the data stream with shortcode wordsin the compressedbit stream. Entropy coding used with some lossycompression algorithmsi.e.JPEG. It reduces number of bits produced from quantizer’s output for more compression. As previously mentioned, ...
We propose a simple and effective lossless compression algorithm for video display frames. It combines a dictionary-based compression algorithm and the Huffman coding method to achieve a high compression ratio. We quantitatively analyze the characteristics of display frame data and propose the algorithm ...
applying lossless compression to the region of interest and lossy compression to the region of non interest becomes a solution22. As a part of the region of interest, in3, it proposed an algorithm using discrete wavelet transform and set partitioning in hierarchical trees algorithm, which aims...
There is a trade-off between the time and memory that compressionalgorithmsrequire and the compression that they achieve. English text can generally be compressed to one-half or one-third of its original size. Images can often be compressed by factors of 10 to 20 or more. Despite the growth...
introduce a two phase steganography application that allows the user to first compress the information into ASCII form using our novel compression technique (compression technique utilizing reference points coding) then embed the information into the carrier using least significant bit (LSB) algorithms. ...
However, little is known about optimal or near optimal methods for lossless compression of strings generated by sources that are not stationary ergodic. We present a number of asymptotically efficient algorithms that address, at least from the theoretical point of view, optimal lossless compression of...
In many applications and protocols, the number of usable characters is limited. Base64 or other similar algorithms are widely used to encode the binary data into a printable representation. But base64 itself can¿t compress data, contrarily, it inflates the binary data by 33%. This paper...
For both signal de-noising and data compression, wavelet is a good choice. Also the algorithms for both purposes are very similar in the structure. To reduce the entropy of the data, a soft-thresholding is applied to de-noising the signal first, so that a quasi-lossless compression can be...
efficient: the code is optimized for efficiency (trade-off between compression ratio and speed). Unlike the most common lossless data compressors, Kanzi uses a variety of different compression algorithms and supports a wider range of compression ratios as a result. Most usual compressors do not tak...