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

No-reference image quality assessment (NR-IQA) aims to measure the imagequality without reference image. However, contrast distortion has beenoverlooked in the current research of NR-IQA. In this paper, we propose a verysimple but effective metric for predicting quality of contrast-altered imagesbased on the fact that a high-contrast image is often more similar to itscontrast enhanced image. Specifically, we first generate an enhanced imagethrough histogram equalization. We then calculate the similarity of theoriginal image and the enhanced one by using structural-similarity index (SSIM)as the first feature. Further, we calculate the histogram based entropy andcross entropy between the original image and the enhanced one respectively, togain a sum of 4 features. Finally, we learn a regression module to fuse theaforementioned 5 features for inferring the quality score. Experiments on fourpublicly available databases validate the superiority and efficiency of theproposed technique.

No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement