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

In this paper, a novel algorithm called a non-local adaptive mean filter(NAMF) for removing salt-and-pepper (SAP) noise from corrupted images ispresented. We employ an efficient window detector with adaptive size to detectthe noise, the noisy pixel will be replaced by the combination of itsneighboring pixels, and finally we use a SAP noise based non-local mean filterto reconstruct the intensity values of noisy pixels. Extensive experimentalresults demonstrate that NAMF can obtain better performance in terms of qualityfor restoring images at all levels of SAP noise.

NAMF: A Non-local Adaptive Mean Filter for Salt-and-Pepper Noise Removal