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...

The aim of this paper to characterize a larger set of wavelet functions for implementation in a still image compression system using SPIHT algorithm. This paper discusses important features of wavelet functions and filters used in sub band coding to convert image into wavelet coefficients in MATLAB. Image quality is measured objectively using peak signal to noise ratio (PSNR) and its variation ...

The following paper introduces a low bitrate video coding method on the basis of 3D motion compensated wavelet transform and SPIHT algorithm. In contrast to the conventional algorithms applying motion compensation and differential coding, here wavelet transform is used to exploit the opportunities of time redundancy. For coefficient collection, the 3D version of SPIHT algorithm was selected fro...

SAR image compression is very important in reducing the costs of data storage and transmission in relatively slow channels. In this paper, we propose a compression scheme driven by texture analysis, homogeneity mapping and speckle noise reduction within the wavelet framework. The image compressibility and interpretability are improved by incorporating speckle reduction into the compression sche...

Two well-known wavelet zerotree encoding algorithms, Embedded Zerotree Encoding (EZW) and Set Partitioning in Hierarchical Trees (SPIHT), provide excellent progressive display when images are transmitted over reliable networks. However, both algorithms are state-dependent and can perform poorly over unreliable networks. In this paper, we apply the concept of network-conscious image compression ...

Wavelet zerotree encoding has been proven to be an efficient way of compressing still images. Two well-known zerotree encoding algorithms, Embedded Zerotree Encoding (EZW) and Set Partitioning in Hierarchical Trees (SPIHT), provide excellent progressive display when images are transmitted over reliable networks. However, both algorithms are state-dependent and can perform poorly over unreliable...

This work proposes optimal image transmission over coded Orthogonal Frequency Division Multiplexing system with Low Density Parity Check Coding. The DWT based Set Partitioning in Hierarchical Trees algorithm is used for source coding of the images to be transmitted. It improves the transmission efficiency for progressive image transmission over Additive White Gaussian Noise channel. Study Work ...

In this paper, we present a compressed-domain watermarking technique for still images based on the SPIHT (set partitioning in hierarchical trees) coding. The proposed watermark is engraved on the refinement bits of SPIHT. By jointly considering watermarking and compression, the proposed quantization-based watermark suffers less degradation from the host interference and lossy compression. Water...