This paper is devoted to the tranform-based methods for decorrelation of simultaneously recorded ECG channels. The conventional 12-lead ECG recordings, due to the non-optimal lead positioning, contain highly redundant data. Eliminating this redundancy yields new possibilities for lossless coding of the ECG, meeting the most severe expectations about the quality of stored signal. The statistical...

--The paper presents the lossless image compression based on prediction and contourlet transform methods in image processing. The lossless compression usually a less bandwidth or less memory and low compression ratio at the cost of image quality degradation. In the paper presents prediction and Contourlet transform methods are used. In prediction method, convert the color image to YVU and then ...

The JBIG2 standard for lossy and lossless bi-level image coding is a very flexible encoding strategy based on pattern matching techniques. This paper addresses the problem of compressing text images with JBIG2. For text image compression, JBIG2 allows two encoding strategies: SPM and PM&S. We compare in detail the lossless and lossy coding performance using the SPM-based and PM&S-based JBIG2, i...

In this paper, an embedded wavelet based image coding algorithm is described. The algorithm allows certain regions of the image to be coded losslessly so that they can be exactly recovered by the decoder, while the remaining part is coded in a lossy manner. This maintains high compression while meeting the requirement of having lossless Regions of Interest (ROI’s) in certain applications, like ...

In this paper, an embedded wavelet based image coding algorithm is described. The algorithm allows certain regions of the image to be coded losslessly so that they can be exactly recovered by the decoder, while the remaining part is coded in a lossy manner. This maintains high compression while meeting the requirement of having lossless Regions of Interest (ROI’s) in certain applications, like ...

1 FAST NOISE SUPPRESSION FOR LOSSLESS IMAGE CODING (EXTENDED PREPRINT) Tilo Strutz University of Rostock, Institute of Communications and Information Electronics Richard-Wagner-Str.31, 18119 Rostock, FRG ABSTRACT: This contribution presents a new denoising method for applications requiring preservation of highest visual image quality. The aim of the new approach is not to suppress all noise ins...

Lifting scheme based integer transforms are very powerful tools to construct lossless coding schemes. These transforms such as the Integer Fast Fourier Transform (IntFFT) and the Integer Modified Discrete Cosine Transform (IntMDCT) are integer approximations of the original floatingpoint transforms, and hence there is an approximation error in the transform domain. This paper will propose struc...

A novel design for a vector quantizer that uses multiple codebooks of variable dimensionality is proposed. High dimensional source vectors are first partitioned into two or more subvectors of (possibly) different length and then, each subvector is individually encoded with an appropriate codebook. Further redundancy is exploited by conditional entropy coding of the subvectors indices. This sche...

A new progressive lossy-to-lossless coding framework for 2.5-dimensional (2.5-D) triangle meshes with arbitrary connectivity is proposed by combining ideas from the previously proposed average-difference image-tree (ADIT) method and the Peng-Kuo (PK) method with several modifications. The proposed method represents the 2.5-D triangle mesh with a binary tree data structure, and codes the tree by...

The wavelet transform is widely used in the task of hyperspectral image compression (HSIC). They have achieved outstanding performance a (HS) image, which has attracted great interest. However, based algorithm (HSICA) low-coding gain than other state art HSIC algorithms. To solve this problem, manuscript proposes curvelet algorithm. multiscale mathematical that represents curve and edges HS mor...