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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

To improve the resolution and reduce the noise in image, a framework of Multi-image super resolution reconstruction with Pepper and Salt noise is proposed. In the low resolution imaging model, the processes of movement, blur, down-sampling and Pepper and Salt noise are considered. Firstly, for the multiple low resolution images, the Pepper and Salt noise in each image is reduced through median filtering method. Then, super resolution reconstruction is carried out on the multiple de-noised low resolution images through iterative back projection algorithm. Experiments show that the visual effect and the peak signal to noise ratio (PSNR) of the super resolution reconstructed image is improved greatly.

ulti-image Super Resolution Reconstruction with Pepper and Salt Noise