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

Noise is the major problem in the field of image processing. In Medical image such as Ultrasound image are contaminated by different types of noise. The usefulness of US imaging is degraded by the presence of signal dependence noise known as speckle noise. In the presence of such noise it is difficult to diagnosis. To acquire a better performance we state another method that works efficiently to reduce noise an image without blurring the frontiers between different regions. This paper demonstrates wavelet based thresholding technique for de-noising and improving visual image quality in ultrasound images. This proposed method is compared to other existing approach and give superior result that satisfy the human visual quality and also these resulting images are evaluated by the performance parameter Signal to Noise Ratio, The Peak Signal to Noise Ratio and also other image quality measurement criteria. This method gives the better result with comparison to existing the Adaptive filter and Anisotropic Diffusion filter.

An Efficient Speckle Noise Reduction Filter in Ultrasound images using Discrete Wavelet Transform based on Adaptive Threshold