The compression result is a set of compressed strings representing the piecewise-defined function which is coded through a text compression method. In order to improve the compression results in this method, the
Komal Ramteke and Sunita Rawat, "Lossless Image Compression LOCO-R Algorithm for 16 bit Image", 2nd National Conference on Information and Communication Technology (NCICT), pp. 11-14, 2011.Lossless Image Compression LOCO-R Algorithm for 16 bit Image - Ramteke, Rawat - 2011 () Citation ...
A method and apparatus for compressing data is described. In one embodiment, a processor receives one or more strings of data to be compressed. Duplicate strings are replaced with pointers using a first compression algorithm. An output of the first compression algorithm is processed with a second...
co-evolution is defined as the evolution of two or more species which mutually affect each other, and it is one of the major forces that produce biodiversity30. Recently, co-evolution was used as the basis for an
We started with an CELP system with order 12 and with Discrete Cosine Transform (DCT) based residual excitation. Forty coefficients with transmission rate of 5.14kbps were first used. For each frame of the testing signals we applied a multistage HCDC, we tested the compression performance for ...
that much, you could argue for a larger N, being aware that this will cause 2^(-15) * 1152 = 3.5% error in difficulty at times when nBit is near the "cusp" of changing (this requires understanding nBit's compression scheme to explain). It's 1.75% error at times with N = 576....
For reference, several fast compression algorithms were tested and compared on a desktop featuring a Core i7-9700K CPU @ 4.9GHz and running Ubuntu 24.04 (Linux 6.8.0-53-generic), usinglzbench, an open-source in-memory benchmark by @inikep compiled withgcc14.2.0, on theSilesia compression...
Intellectual Property Rights Notice for Open Specifications Documentation Specifies the three variants of the Xpress Compression Algorithm: LZ77+Huffman, Plain LZ77, LZNT1, and their respective decompression algorithms. This algorithm efficiently compresses data that contains repeated byte sequences. It is ...
For that reason, we implement directionlets instead of the three-band WT with adaptation to locally dominant directions across the image domain. Unlike in the case of compression, where critically sampled transforms are required, an overcomplete version of directionlets is used here. This version ...
The selection of Hadamard transform as watermark embedding domain brought about several advantages, including low loss in image information (higher image fidelity), greater watermark detection reliability, and higher data hiding capacity in a high degree of compression. The proposed method was compared ...