Uhl, "Comparison of compression algorithms' impact on iris recognition accuracy," in Proc. of the 2nd Int'l Conf. on Biometrics (ICB 2007), LNCS, 4642, pp. 232-241, 2007.Matschitsch, S., Tschinder, M., Uhl, A.: Comparison of compression algorithms’ impact on iris recognition ...
Through thisinnovative design, compressed data is self-contained within the database blockas the metadata used to translate compressed data into its original state isstored in the block. When compared with competing compression algorithms thatmaintain a global database symbol table, Oracle’s unique a...
Compression TimeIn deep communications systems bandwidth availability, storage and computational capacity play a crucial role and represent precious, as well as limited, communications resources. Starting from this consideration, high efficient image compression coding algorithms may represent a key solution ...
Efficient decompression algorithms run so fast on modern hardware that the total time of transferring a compressed chunk of data from disk and then decompressing it is usually less than transferring the same chunk of data in uncompressed form. 1. Statistical properties of terms in information ...
Lossless compression reduces the size of your images by removing unnecessary metadata in most cases. Some algorithms will work slightly differently, depending on the tool. But, regardless of how the algorithm works, it doesn’t affect the image quality at all. ...
The proposed algorithms are comparable or slightly better than the best general compression algorithms such as bzip2 and 7zip, but those programs require a much greater processing time compared to our algorithms. The term "post-genomic era" has become somewhat fashionable, it is clear that the ...
This paper reviewed various image compression techniques and compared its performance using PSNR, Structural Similarity Index (SSIM), Mean Square Error (MSE) and CR. A survey of image compression algorithms involved in wireless multimedia sensor networks (WMSN) is given in (ZainEldin et al., 2015...
The mita database consists of different rhythms, QRS complex morphologies, ectopic beats and noisy ECG signal and this database records are widely used for testing purpose in most of the reported compression algorithms. In literature, dataset-I records: 100, 101, 102, 103, 107, 109, 111, ...
Kathpalia and Nagaraj recently introduced a causality measure, called Compression-Complexity Causality (CCC), which employs ‘complexity’ estimated using lossless data-compression algorithms for the purpose of causality estimation. It has been shown to have the strength to work well in case of missin...
encoding schemes, respectively. The short reads are stored using a reference-based compression scheme based on the light-weight mapping model. Afterward, the three processed data streams are packed together with general purpose compression algorithms like LZMA (http://www.7-zip.org/sdk.html). LW...