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

Noise is inevitably common in digital images, leading to visual imagedeterioration. Therefore, a suitable filtering method is required to lessen thenoise while preserving the image features (edges, corners, etc.). This paperpresents the efficient type-2 fuzzy weighted mean filter with an adaptivethreshold to remove the SAP noise. The present filter has two primary steps:The first stage categorizes images as lightly, medium, and heavily corruptedbased on an adaptive threshold by comparing the M-ALD of processed pixels withthe upper and lower MF of the type-2 fuzzy identifier. The second stageeliminates corrupted pixels by computing the appropriate weight using GMF withthe mean and variance of the uncorrupted pixels in the filter window.Simulation results vividly show that the obtained denoised images preserveimage features, i.e., edges, corners, and other sharp structures, compared withdifferent filtering methods.

AT-2FF: Adaptive Type-2 Fuzzy Filter for De-noising Images Corrupted with Salt-and-Pepper