This paper discusses the application of the Set Partitioning In Hierarchical Trees (SPIHT) algorithm to the compression of audio signals. Simultaneous masking is used to reduce the number of coefficients required for the representation of the audio signal. The proposed scheme is based on the combination of the Modulated Lapped Transform (MLT) and SPIHT. Comparisons are also made with the Discre...

A robust and an efficient source and channel coding algorithms is proposed in this paper for the purpose of progressive transmission of images over wireless communication systems. This paper presents a modified orthogonal frequency division multiplexing system for robust progressive image transmission. A joint source channel coder is employed in the modified OFDM system. The set Partioning hier...

This paper extends a scalable to lossless compression scheme to allow scalability in terms of sampling rate as well as quantization resolution. The scheme presented is an extension of a perceptually scalable scheme that scales to lossless compression, producing smooth objective scalability, in terms of SNR, until lossless compression is achieved. The scheme is built around the Perceptual SPIHT ...

In this paper, the investigation on using the ZTE /modified SPIHT wavelet based compression algorithm for the image retrieval system is presented. As ZTE/modified SPIHT algorithm codes an image into multi-layer bitstreams, the base layer and enhancement layer bitstreams, it provides superior benefits to the retrieval system compared to other compression methods. Since the base layer bitstream i...

This paper presents a lossless compression of volumetric medical images with the improved 3-D SPIHT algorithm that searches on asymmetric trees. The tree structure links wavelet coefficients produced by three-dimensional reversible integer wavelet transforms. Experiments show that the lossless compression with the improved 3-D SPIHT gives improvement about 42% on average over two-dimensional te...

A wavelet ECG data codec based on the Set Partitioning In Hierarchical Trees (SPIHT) compression algorithm is proposed in this paper. The SPIHT algorithm [1] has achieved notable success in still image coding. We modified the algorithm for the one-dimensional (1-D) case and applied it to compression of ECG data. Experiments on selected records from the MIT-BIH arrhythmia database revealed that ...

in this paper, an object-based, highly scalable, lossy-to-lossless 3d wavelet coding approach for volumetric medical image data (e.g. mr and ct) is proposed. the new method, called 3dobhs-spiht, is based on the well known set partitioning in hierarchical trees (spiht) algorithm and supports both quality and resolution scalability. the 3d input data is grouped into groups of slices (gos) and eac...