This work results from a fractal image compression based on iterated transforms and machine learning modeling. In this work an improved quasi-losses fractal coding scheme is addressed to preserve the rich features of the medical image as the domain blocks and to generate the remaining part of the image from it based on fractal transformations. Machine learning based model is used for improving ...

Data compression has become a necessity not only the in the field of communication but also in various scientific experiments. The data that is being received is more and the processing time required has also become more. A significant change in the algorithms will help to optimize the processing speed. With the invention of Technologies like IoT and in technologies like Machine Learning there ...

Test compression / decompression scheme for reducing the test application time and memory requirement of an LSI tester has been proposed. In the scheme, the employed coding algorithms are tailored to a given test data, so that the tailored coding algorithm can highly compress the test data. However, these methods have some drawbacks, e.g., the coding algorithm is ineffective in extra test data ...

micropolar plasticity provides the capability to carry out post-failure simulations of geo-structures due to microstructural considerations and embedded length scale in its formulation. an essential part of the numerical implementation of a micropolar plasticity model is the integration of the rate constitutive equations. efficiency and robustness of the implementation hinge on the type of inte...

Top-down tree search algorithms with non-additive information cost comparisons as decision criteria have recently been proposed by Taswell for the selection of near-best bases in wavelet packet transforms. Advantages of top-down non-additive near-best bases include faster computation speed, smaller memory requirement, and extensibility to biorthogonal wavelets in addition to orthogonal wavelets...

There is a tradeoff between the speed of a data compressor and the level of compression it can achieve. Improving compression generally requires more computation; and improving speed generally sacrifices compression. In this thesis, we examine a range of tradeoffs for text and video. In text compression, we attempt to bridge the gap between statistical techniques, which exhibit a greater amount...

It is an attempt to describe briefly the state of art end prospective directions of development of image compression. The paper deals with coding of continuous-tone color still images and video captured from real world. Here, three main aspects are: lossless coding, lossy coding of still images and video coding. Some basic features of newest image compression standards are described and basic r...

With increasing amount of text data being stored rapidly, efficient information retrieval and Storage in the compressed domain has become a major concern. Compression is the process of coding that will effectively reduce the total number of bits needed to represent certain information. Data compression has been one of the critical enabling technologies for the ongoing digital multimedia revolut...