Image compression is minimizing the size in bytes of a graphics file without degrading quality image to an unacceptable level, reduction allows more images be stored given amount disk or memory space, it also reduces time required for sent over ground. This paper presents new coding scheme satellite images. In this study we apply fast Fourier transform and scalar quantization standard LENA imag...

Data Compression is an area that needs to be given almost attention is text quality assessment. Different methodologies have been defined for this purpose. Hence choosing the best machine learning algorithm is really important. In addition to different compression technologies and methodologies, selection of a good data compression tool is most important. There is a complete range of different ...

Due to bandwidth constraints on the wireless link in an IP network, it is useful to compress the headers so as to maximize the utilization of the link. Different Header Compression schemes have been proposed. Some make use of the similarity in consecutive headers in a packet flow to compress these headers. These are called here time compression, as they acquire the compression information over ...

Superstrings have many applications in data compression and genetics. However the decision version of the shortest superstring problem is NP-complete. In this paper we examine the complexity of approximating a shortest superstring. There are two basic measures of the approximations: the compression ratio and the approximation ratio. The well known and practical approximation algorithm is the se...

We compare a variety of lossless image compression methods on a large sample of astronomical images and show how the compression ratios and speeds of the algorithms are affected by the amount of noise (that is, entropy) in the images. In the ideal case where the image pixel values have a randomGaussian distribution, the equivalent number of uncompressible noise bits per pixel is given byNbits =...

In this paper, we describe a new compression algorithm for encoding acoustic features used in typical speech recognition systems. The proposed algorithm uses a combination of simple techniques, such as linear prediction and multi-stage vector quantization, and the current version of the algorithm encodes the acoustic features at a fixed rate of 4.0 Kbit/s. The compression algorithm can be used ...

This paper deals with performance evaluation of well known image compression algorithm i.e. wavelet based image compression Set Partition in hierarchical Tree (SPIHT) and decomposition algorithm known as Singular Value Decomposition (SVD). Due to multi resolution nature of wavelet transforms, SPIHT provides better image compression at higher compression ratio. The techniques are implemented in ...