Different seismic data compression algorithms have been developed in order to make the storage more efficient, and to reduce both the transmission time and cost. In general, those algorithms have three stages: transformation, quantization and coding. The Wavelet transform is highly used to compress seismic data, due to the capabilities of the Wavelets on representing geophysical events in seism...

Digital images have become an important source of information in the modern world of communication systems. In their raw form, digital images require a tremendous amount of memory. Many research efforts have been devoted to the problem of image compression in the last two decades. Two different compression categories must be distinguished: lossless and lossy. Lossless compression is achieved if...

Compression is a technique to reduce the quantity of data without excessively reducing the quality of the multimedia data.The transition and storing of compressed multimedia data is much faster and more efficient than original uncompressed multimedia data. There are various techniques and standards for multimedia data compression, especially for image compression such as the JPEG and JPEG2000 s...

We present general and unified algorithms for lossy/lossless coding of bilevel images. The compression is realized by applying arithmetic coding to conditional probabilities. As in the current JBIG standard the conditioning may be specified by a template. For better compression, the more general free tree may be used. Loss may be introduced in a preprocess on the encoding side to increase compr...

This paper presents the comparison of compression algorithms for voice transferring method over SMS in satellite communication. Voice transferring method over SMS is useful in situations when signal strength is low and due to poor signal strength voice call connection is not possible to initiate or signal dropped during voice call. This method has one serious flaw that it produces large number ...

In this paper, we propose and investigate simple bit-error aware lossless compression algorithms for the compression and transmission of image data under the bit-error environment. We focus on enhancing two-stage lossless compression algorithms. The first stage uses a simple linear predictor, whereas at the second stage, we apply bi-level block coding, interval entropy coding, and standard entr...

Lossless compression schemes with secure transmission play a key role in telemedicine applications that helps in accurate diagnosis and research. Traditional cryptographic algorithms for data security are not fast enough to process vast amount of data. Hence a novel Secured lossless compression approach proposed in this paper is based on reversible integer wavelet transform, EZW algorithm, new ...

The wireless sensor network utilizes image compression algorithms like JPEG, JPEG2000, and SPIHT for image transmission with high coding efficiency. During compression, discrete cosine transform (DCT)–based JPEG has blocking artifacts at low bit-rates. But this effect is reduced by discrete wavelet transform (DWT)–based JPEG2000 and SPIHT algorithm but it possess high computational complexity. ...

Summary: While achieving a compression ratio of 2.0 bits/base ,the new algorithm codes non-N bases1 in fixed length.It dramatically reduces the time of coding and decoding than previous DNA compression algorithms and some universal compression programs. Availability: http://grandlab.cer.net/topic.php?TopicID=50 Contact: [email protected] [email protected] [email protected]

Speech compression, enhancement and recognition in noisy, reverberant conditions is a challenging task. In this paper a new approach to this problem, which is developed in the framework of probabilistic random modeling. speech coding techniques are commonly used in low bit rate analysis and synthesis . Coding algorithms seek to minimize the bit rate in the digital representation of a signal wit...