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 Plus annual

Presents the access of premium content as premium feature

Premium Content

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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Professional applications like telemedicine often require scalable losslesscoding of sensitive data. 3-D subband coding has turned out to offer goodcompression results for dynamic CT data and additionally provides a scalablerepresentation in terms of low- and highpass subbands. To improve the visualquality of the lowpass subband, motion compensation can be incorporated intothe lifting structure, but leads to inferior compression results at the sametime. Prior work has shown that a denoising filter in the update step canimprove the compression ratio. In this paper, we present a new processing orderof motion compensation and denoising in the update step and additionallyintroduce a second denoising filter in the prediction step. This allows forreducing the overall file size by up to 4.4%, while the visual quality of thelowpass subband is kept nearly constant.

Scalable Lossless Coding of Dynamic Medical CT Data Using Motion Compensated Wavelet Lifting with Denoised Prediction and Update