Image data compression and storage

Wu, H, Tan, D, Cai, T and Feng, D 2008, 'Image data compression and storage' in D. Feng (ed.) Biomedical Information Technology, Academic Press, Boston, USA, pp. 51-81.


Document type: Book Chapter
Collection: Book Chapters

Title Image data compression and storage
Author(s) Wu, H
Tan, D
Cai, T
Feng, D
Year 2008
Title of book Biomedical Information Technology
Publisher Academic Press
Place of publication Boston, USA
Editor(s) D. Feng
Start page 51
End page 81
Subjects Electrical and Electronic Engineering not elsewhere classified
Image Processing
Summary Picture compression is an important tool in the modern digital world. Over the years, the move toward the digital media has led to the proliferation of digital picture compression systems. This is particularly noticeable in the entertainment industry, consumer electronics, and security/surveillance systems. However, data compression is becoming increasingly important in biomedical imaging applications as well, due to the increased popularity of digital biomedical imaging systems, the constant improvement of image resolution, and the practical need for online sharing of information through networks. Picture compression came about following the advent of analog television broadcasting. Initial methods of limiting signal bandwidth for transmission were relatively simple. They included subsampling to lower picture resolution and/or interlacing of television pictures into alternate Welds in alternate picture frames. With the introduction of color television, subsampling was extended to the color channels as well [1]. The digital picture is seen as a natural migration from the analog picture. Hence, it is felt that digital picture compression is, in many ways, a natural evolution of analog compression. While this is true in some sense, the nature of digital signals and of analog signals is quite different. Consequently, the methods for compressing digital and analog pictures are distinct from one another. This chapter will first provide a basic introduction to digital picture compression, focusing on general concepts and methods, then introduce some advanced data compression techniques. These techniques are used in noisy medical image data sets with high compression ratios (CRs) and improved image quality, which have pioneered in biomedical diagnostically lossless data compression research. An extended discussion of classical data compression can be found in [2-8], while the new research in diagnostically lossless data compression can be found in the references given in the later sections.
Copyright notice © 2008 Elsevier Inc.
ISBN 9780123735836
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