MPEG-4 Audio Lossless Coding (ALS) is a new addition to the suite of MPEG-4 audio coding standards. The ALS codec is based on forward-adaptive linear prediction, which offers remarkable compression even with low predictor orders. Nevertheless, performance can be significantly improved by using higher predictor orders, more efficient quantization and encoding of the predictor coefficients, and a...

In this paper we propose the use of integer wavelet [2] as a decorrelation stage for adaptive context based lossless audio coding. The original wideband audio signal is first decomposed in wavelet subbands. The resulted coefficients are integer valued and therefore can be transmitted using an adaptive context based method, in a lossless manner, the decoder being able to reconstruct them and aft...

In this paper we propose the use of integer wavelet [2] as a decorrelation stage for adaptive context based lossless audio coding. The original wideband audio signal is first decomposed in wavelet subbands. The resulted coefficients are integer valued and therefore can be transmitted using an adaptive context based method, in a lossless manner, the decoder being able to reconstruct them and aft...

In this paper, an adaptive multi-dictionary model for data compression is proposed. Dictionary techniques applied in lossless compression coding can be modeled from the dictionary management point of view which is similar to that of cache memory. The behavior of a compression technique can be described by nine parameters defined in the proposed model, which provides a unified framework to descr...

Recently, we proposed a new multiplierless 1D Int-DCT modified from our existing Int-DCT by approximating floating multiplications to bit-shift and addition operations. The multiplierless 1D Int-DCT can be well operated both lossless coding and lossy coding. However, our multiplierless 1D Int-DCT is not focused on how to assign word-length for floating-multiplier approximation as short as possi...

This paper presents a novel block-based segmentation and adaptive coding(BSAC) algorithm for visually lossless compression of scanned documents that contain not only photographic images but also text and graphic images. For such compound image source, we structure the image into nonoverlapping blocks and classify each block into four different classes based on the empirical statistics within th...

In this paper we propose a cascade prediction scheme to be used in predictive lossless coding. First a linear predictor is designed using Levinson-Durbin algorithm, using a frame of data which is not available to the decoder, the predictor coefficients being sent as side information. The second predictor is an and adaptive, context based L predictor, designed using only already transmitted data...

This paper describes an online lossless datacompression method using adaptive arithmetic coding. To achieve good compression efficiency, we employ an adaptive fuzzy-tuning modeler that applies fuzzy inference to deal efficiently with the problem of conditional probability estimation. In comparison with other lossless coding schemes, the compression results of the proposed method are good and sa...

In the Differential Pulse-code Modulation (DPCM) image coding, the intensity of a pixel is predicted as a linear combination of a set of surrounding pixels and the prediction error is encoded. In this paper, we propose the adaptive residual DPCM (ARDPCM) for intra lossless coding. In the ARDPCM, intra residual samples are predicted using adaptive mode-dependent DPCM weights. The weights are est...

Columnar Oriented Database is an enhance approach to service to service the needs of Business Intelligence. A Columnar Oriented Database Management system that stores content by columns rather than the row. This type of data differs from traditional database with regards to performance, storage requirements and easy to modification of the schema. One of the major advantage of column based datab...