English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

A huge advantage of the wavelet transform in image and video compression isits scalability. Wavelet-based coding of medical computed tomography (CT) databecomes more and more popular. While much effort has been spent on encoding ofthe wavelet coefficients, the extension of the transform by a compensationmethod as in video coding has not gained much attention so far. We will analyzetwo compensation methods for medical CT data and compare the characteristics ofthe displacement compensated wavelet transform with video data. We will showthat for thorax CT data the transform coding gain can be improved by a factorof 2 and the quality of the lowpass band can be improved by 8 dB in terms ofPSNR compared to the original transform without compensation.

Analysis of displacement compensation methods for wavelet lifting of medical 3-D thorax CT volume data