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What is Wavelet Coding

Chapter 29
Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications
Wavelet coding or compression is a form of data compression well suited for image compression (sometimes also video compression and audio compression). Wavelet compression can be either perfect (lossless) or lossy, where a certain loss of quality is accepted. Using a wavelet transform, the wavelet compression methods are adequate for representing transients, such as percussion sounds in audio, or high-frequency components in two-dimensional images, for example an image of stars on a night sky. This means that the transient elements of a data signal can be represented by a smaller amount of information than would be the case if some other transform, such as the more widespread discrete cosine transform, had been used.
Published in Chapter:
Advanced ROI Coding Techniques for Medical Imaging
Charalampos Doukas (University of the Aegean, Greece) and Ilias Maglogiannis (University of Central Greece, Greece)
Copyright: © 2009 |Pages: 13
DOI: 10.4018/978-1-60566-314-2.ch029
Abstract
Medical images are often characterized by high complexity and consist of high resolution image files, introducing thus several issues regarding their handling. Current compression schemes produce high compression rates, sacrificing however the image quality and leading this way to unenviable examination. Region of Interest (ROI) coding has been introduced as an efficient technique for addressing such issues, by performing advanced image compression and preserving quality in diagnostically critical regions. This chapter discusses the basic ROI approaches and provides an overview of state of the art ROI coding techniques for medical images along with corresponding results.
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