Recent success in wavelet image coding is mainly attributed to a recognition of the importance of data organization and representation. There have been several very competitive wavelet coders developed, namely, Shapiro's (1993) embedded zerotree wavelets (EZW), Servetto et al.'s (1995) morphological representation of wavelet data (MRWD), and Said and Pearlman's (see IEEE Trans. Circuits Syst. V...

INTRODUCTION With the promotion and application of digital imaging technology in the medical domain, the amount of medical images has grown rapidly. However, the commonly used compression methods cannot acquire satisfying results. METHODS In this paper, according to the existed and stated experiments and conclusions, the lifting step approach is used for wavelet decomposition. The physical an...

Lifting is an efficient algorithm to implement the discrete wavelet transform in order to overcome the drawbacks of the conventional wavelet transform that does not provide a compact representation of edges which are not in horizontal and vertical directions. The lifting scheme provides a general and flexible tool for the construction of wavelet decompositions and perfect reconstruction filter ...

We present a preliminary investigation of compression of segmented 3D seismic volumes for the rendering purposes. Promising results are obtained on the base of 3D discrete cosine transforms followed by the SPIHT coding scheme. An accelerated version of the algorithm combines 1D discrete cosine transform in vertical direction with the 2D wavelet transform of horizontal slices. In this case the S...

In this paper, we analyze the design issues for the SPIHT (set partitioning in hierarchical trees) coding, one of the most prestigious embedded-wavelet-based algorithms in the literature. Equipped with the multiresolution decomposition, progressive scalar quantization and adaptive arithmetic coding, SPIHT generates highly compact scalable bitstreams suitable for real-time multimedia application...

Medical imaging plays a vital role in medical diagnosis. These medical images available in hospitals and medical organizations occupy a lot of space. The massive use of digitized images has led to the compression allowing economical storage and fast data transfer. Over the years, JPEG compression schemes based on Discrete Cosine Transform have been proposed and standardized. The input image has...

In this paper we present an efficient FPGA implementation of the ’Set Partitioning in Hierarchical Trees’ (SPIHT) algorithm of Said and Pearlman [1] in combination with an arithmetic coder. The FPGA implementation is applied within a partitioned approach for wavelet-based lossy image compression [2]. The basic SPIHT algorithm uses dynamic data structures that make a hardware realization difficu...

This paper proposes several enhancements to the Set Partitioning in Hierarchical Trees (SPIHT) image coding algorithm without changing the original algorithm’s general skeleton. First and foremost, a method for significance map pruning based on a rate-distortion criterion is introduced. Specifically, the (Type A) sets of wavelet coefficients with small ratios of estimated distortion reduction t...

This paper proposes an object-based, highly scalable, lossy-to-lossless coding approach for magnetic resonance (MR) images. The proposed approach, called OBHS-SPIHT, is based on the well known set partitioning in hierarchical trees (SPIHT) algorithm and supports both quality and resolution scalability. It progressively encodes each slice of the MR data set separately in a multiresolution fashio...

In this paper, Compression and improving the Quality of images during the transmission using SPIHT algorithm combined with Huffman encoding over OFDM channel has been proposed. Initially decompose the image in to different level, the compressed coefficients are arranged in descending order of priority and mapped over the channels. The coefficients with lower importance level, which are likely t...