Wavelet-based Image Compression Techniques for Medical Images - Mohd Rafi Lone - Bøger - LAP Lambert Academic Publishing - 9786203582154 - 30. marts 2021
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Wavelet-based Image Compression Techniques for Medical Images

Mohd Rafi Lone

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Wavelet-based Image Compression Techniques for Medical Images

DICOM is a standard for handling, storing, printing and transmitting medical images. In every hospital, the diagnosis data is formatted by the DICOM standard, so as to make data compatible. High precision images are usually needed in medical diagnosis. But at the same time, the storage needed should be lowered. This is done by image compression. DICOM uses image compression standards like JPEG-LS, EZW etc to compress the medical images. There is always a tradeoff between quality and amount of storage needed. We want bitrate as low as possible and quality as high as possible. As there is a tradeoff, we may have to sacrifice one for the other. But in medical images, we cannot sacrifice quality too much as it may lead to wrong diagnosis. Presently we have very good compression techniques based on wavelets. In almost every field of digital imaging, these techniques perform well. Some of these techniques are wavelet difference reduction (WDR), Embedded Zerotree Wavelet (EZW), Set Partitioning in Hierarchical Trees (SPIHT) and JPEG2000.

Medie Bøger     Paperback Bog   (Bog med blødt omslag og limet ryg)
Udgivet 30. marts 2021
ISBN13 9786203582154
Forlag LAP Lambert Academic Publishing
Antal sider 80
Mål 152 × 229 × 5 mm   ·   137 g
Sprog Engelsk  

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