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

The prevalence of digital sensors, such as digital cameras and mobile phones,simplifies the acquisition of photos. Digital sensors, however, suffer fromproducing Moire when photographing objects having complex textures, whichdeteriorates the quality of photos. Moire spreads across various frequencybands of images and is a dynamic texture with varying colors and shapes, whichpose two main challenges in demoireing---an important task in imagerestoration. In this paper, towards addressing the first challenge, we design amulti-scale network to process images at different spatial resolutions,obtaining features in different frequency bands, and thus our method canjointly remove moire in different frequency bands. Towards solving the secondchallenge, we propose a dynamic feature encoding module (DFE), embedded in eachscale, for dynamic texture. Moire pattern can be eliminated more effectivelyvia DFE.Our proposed method, termed Multi-scale convolutional network withDynamic feature encoding for image DeMoireing (MDDM), can outperform the stateof the arts in fidelity as well as perceptual on benchmarks.

Multi-scale Dynamic Feature Encoding Network for Image Demoireing