In this paper, we propose a three-dimensional Set Partitioned Embedded ZeroBlock Coding (3D SPEZBC) lossy-to-lossless compression algorithm for hyperspectral image which is an improved three-dimensional Embedded ZeroBlock Coding (3D EZBC) algorithm. The algorithm adopts the 3D integer wavelet packet transform proposed by Xiong et al. to decorrelate, the set-based partitioning zeroblock coding t...

A variety of new and powerful algorithms have been developed for image compression over the years. Among them the wavelet-based image compression schemes have gained much popularity due to their overlapping nature which reduces the blocking artifacts that are common phenomena in JPEG compression and multiresolution character which leads to superior energy compaction with high quality reconstruc...

We have seen rapid progress in high-quality compression of wideband audio signals. Today’s coding algorithms can achieve substantially better compression than was thought possible only a few years ago. In the case of audio coding with its bandwidth of 20 kHz and more, the concept of perceptual coding has paved the way for significant bit rate reductions. However, multiple coding can reveal orig...

In this paper, we propose a hyperspectral image lossy-tolossless compression using three-dimensional Embedded ZeroBlock Coding (3D EZBC) algorithm based on Karhunen-Loève transform (KLT) and wavelet transform (WT). Furthermore, an improved Hao’s matrix factorization method for integer KLT is also presented, which can reduce not only the computational complexity but also the memory requirements....

We present a novel entropy coding technique that is based on recursive interleaving of variable-to-variable-length binary source codes. An entropy coder using this technique is a general purpose module that can be used in a wide variety of data compression algorithms. The encoding process is adaptable in that each bit to be encoded has an associated probability-of-zero estimate that may depend ...

In this paper, we study various lossless compression techniques for electroencephalograph (EEG) signals. We discuss a computationally simple pre-processing technique, where EEG signal is arranged in the form of a matrix (2-D) before compression. We discuss a two-stage coder to compress the EEG matrix, with a lossy coding layer (SPIHT) and residual coding layer (arithmetic coding). This coder is...

Problem statement: Low complexity image compression algorithms are necessary for modern portable devices such as mobile phones, wireless sensor networks and high constraint power consumption devices. In such applications low bit rate along with an acceptable image quality are an essential requirements. Approach: This study proposes low and moderate complexity algorithms for colour image compres...

Efficient image compression technique especially for medical applications is presented. Dyadic wavelet decomposition by use of Antonini and Villasenor bank filters is followed by adaptive space-frequency quantization and zerotree-based entropy coding of wavelet coefficients. Threshold selection and uniform quantization is made on a base of spatial variance estimate built on the lowest frequency...

The visual quality of compressed images and video is Low bit rate image/video coding is essential for many visual generally affected by three factors: data source, coding bit communication applications. When bit rates become low, most rates, and compression algorithms. For a given comprescompression algorithms yield visually annoying artifacts that sion method, more information (motion or spati...