The research in the field of image compression is driven by the ever increasing bandwidth requirements for transmission of images in computer, mobile and internet environments. In this context, the survey summarizes the major image compression methods spanning across lossy and lossless image compression techniques and explains how the JPEG and JPEG2000 image compression techniques are distinct ...

Even though, the storage space and transmission bandwidth can be reduced by compression, it will reduce the image fidelity, especially when the images are compressed at lower bit rates. Discrete Cosine Transform (DCT) based compression is an effective way of compression in which good compression ratio without losing too much of information can be obtained. In this work a comparison of DCT based...

The expected data rate produced by the Low Frequency Instrument (LFI) planned to fly on the ESA Planck mission in 2007, is over a factor 8 larger than the bandwidth allowed by the spacecraft transmission system to download the LFI data. We discuss the application of lossless compression to Planck/LFI data streams in order to reduce the overall data flow. We perform both theoretical analysis and...

We present a novel measure for compression of time-variant geometry. Compression of timevariant geometry has become increasingly relevant as transmission of high quality geometry streams is severely limited by network bandwidth. Some work has been done on such compression schemes, but none of them give a measure for prioritizing the loss of information from the geometry stream while doing a los...

This document specifies a RObust Header Compression (ROHC) profile for compression of TCP/IP packets. The profile, called ROHC-TCP, provides efficient and robust compression of TCP headers, including frequently used TCP options such as selective acknowledgments (SACKs) and Timestamps. ROHC-TCP works well when used over links with significant error rates and long round-trip times. For many bandw...

Over the past 20 years, numerous papers have been written on various aspects of ECC implementation. In this paper we investigate the superiority of the Arithmetic data compression technique over the Huffman data compression technique in reducing the channel bandwidth and the transmission time. The main purpose of data compression is to reduce the memory space or transmission time, while that of...

The paper covers an overview of image compression methods that are commonly used in digital telecommunication systems. A proposal is made how adaptive optimisation schemes can be applied in order to provide an optimal level of service quality. The criterion of optimality is set by a currently available network bandwidth, while providing a user with best possible quality of service. The problem,...

Among other factors that characterize satellite communication channels is their high bit error rate. We present a system for still image transmission over noisy satellite channels. The system couples image compression together with error control codes to improve the received image quality while maintaining its bandwidth requirements. The proposed system is tested using a high resolution satelli...

The growing disparity between processor and memory speeds has caused memory bandwidth to become the performance bottleneck for many applications. In particular, this performance gap severely impacts streamorientated computations such as (de)compression, encryption, and scientific vector processing. This paper describes the development of an intelligent memory interface that can exploit compiler...

The bandwidth reduction or storage lowering in digital image transmission confers to the image compression a key role. In this paper, we propose a new approach for lossy image compression: the source image is vector quantized by applying Self-Organizing Map (SOM) with several dictionaries. Each dictionary is originally designed based on the feature vectors resulted after applying the Walsh-Hada...