Adrian Stern, MEMBER SPIE Raz Koresh Ben-Gurion University of the Negev Department of Electrical and Computer Engineering P.O. Box 653 Beer-Sheva 84105 Israel Abstract. We present an algorithm that improves the overall performance of compression algorithms by applying low-pass filtering before the compression process and inverse filtering after decompression. Prefiltering images prior to encodi...

Gas turbine systems with wet compression have a potential for future power generation, since they can offer a high efficiency and a high specific power with a relatively low cost. In this study influence of ambient condition on the performance of the wet compression process is investigated with a non-equilibrium analytical modeling based on droplet evaporation. Transient behaviors of droplet di...

This document deals with the issues of video compression. The algorithm, which is used by the MPEG standards, will be elucidated upon in order to explain video compression. Only visual compression will be discussed (no audio compression). References and links to further readings will be provided in the text. What is compression? Compression is a reversible conversion (encoding) of data that con...

This paper utilizes a spatial texture correlation and the intelligent classification algorithm (ICA) search strategy to speed up the encoding process and improve the bit rate for fractal image compression. Texture features is one of the most important properties for the representation of an image. Entropy and maximum entry from co-occurrence matrices are used for representing texture features i...

This paper presents an approach towards FPGA implementation of Discrete Wavelet Transform (DWT) for image compression. The design follows the JPEG2000 standard and can be used for both lossy and lossless compression. Lifting scheme is used for filtering process. This is more efficient than conventional approach using convolution. Also, integer arithmetic is used .This design can be used for ima...

A sequential image compression technique has been proposed in this paper for obtaining loss less image at the receiving side. Apart from the benefit of sequential processing the time complexity of the algorithm is significantly small compare to the q uadratic approaches. The compressed code is stored judiciously to facilitate the decompression process for retrieving the original image. The comp...