Your English writing platform
Discover LudwigSuggestions(5)
Exact(5)
Firstly, a union filter, combing maximum likelihood estimator and partial nonlocal means filter, is designed.
The key idea of the non-local means filter is based on similar patches.
The nonlocal means filter is effective to deal with textures and fine details.
When the reference image f is known, the nonlocal means filter is a linear operator.
When sensor blur and noise are simultaneously considered in a hazy image, the non-local means filter is invalid for the preprocessing.
Similar(55)
Nonlocal means filter was first proposed by Buades et al. [10, 11].
In Subsection 2.1, the weights in the non-local means filter are defined by comparing the similarities of the two patches [ v] i and [ v] j centered around the two locations i and j, respectively.
In this paper, nonlocal means filtering is applied to each subband of wavelet decomposition, which can keep small coefficients and does not generate unwanted large coefficients.
Since the NL-means filter is originally designed for Gaussian noise removal, it cannot be directly applied to ultrasonic image despeckling with the Rayleigh distribution noise.
The accuracy experiment proves the system has a precise measurement performance and the robustness experiment demonstrates the system using a truncated mean filter is reliable and robust.
In the design of the function, local mean filter is used to effectively extract noise-free wavelet coefficient information while original noisy wavelet coefficient magnitude is used to offset the negative effect produced by information extraction.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com