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 SSIM-optimized exact global histogram specification (EGHS) is shown toconverge in the sense that the first order approximation of the result'squality (i.e., its structural similarity with input) does not decrease in aniteration, when the step size is small. Each iteration is composed of SSIMgradient ascent and basic EGHS with the specified target histogram. Selectionof step size and other parameters is also discussed.

Iterative exact global histogram specification and SSIM gradient ascent: a proof of convergence, step size and parameter selection