Weak limit of iterates of some random-valued functions and its application
Sign Up to like & getrecommendations! Published in 2019 at "Aequationes mathematicae"
DOI: 10.1007/s00010-019-00650-z
Abstract: Given a probability space $$ (\Omega , {\mathcal {A}}, P) $$ ( Ω , A , P ) , a complete and separable metric space X with the $$ \sigma $$ σ -algebra $$ {\mathcal… read more here.
Keywords: random valued; valued functions; iterates random; limit iterates ... See more keywords
A Blind CNN Denoising Model for Random-Valued Impulse Noise
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2938799
Abstract: Denoising convolutional neural networks (DnCNNs), initially developed for Gaussian noise removal, are powerful nonlinear mapping models in image processing. After changes in training data, they can be used for suppression of random-valued impulse noise (RVIN)… read more here.
Keywords: noise ratio; random valued; model; valued impulse ... See more keywords
Random-valued impulse noise removal using adaptive ranked-ordered impulse detector
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.27.1.013001
Abstract: Abstract. This paper proposes an adaptive rank-ordered impulse detector based on local statistics for identifying random-valued impulse noise (RVIN) pixels. A piecewise power function is applied to the rank-ordered statistic so as to enlarge the… read more here.
Keywords: random valued; ordered impulse; valued impulse; impulse detector ... See more keywords
Adaptive Edge Preserving Weighted Mean Filter for Removing Random-Valued Impulse Noise
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DOI: 10.3390/sym11030395
Abstract: This paper proposes an adaptive noise detector and a new weighted mean filter to remove random-valued impulse noise from the images. Unlike other noise detectors, the proposed detector computes a new and adaptive threshold for… read more here.
Keywords: random valued; valued impulse; weighted mean; filter ... See more keywords
An optimized direction statistics for detecting and removing random-valued impulse noise
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Industrial and Management Optimization"
DOI: 10.3934/jimo.2017062
Abstract: In this paper, we propose a robust local image statistic based on optimized direction, by which we can distinguish image details and edges from impulse noise effectively. Therefore it can identify noisy pixels more accurately.… read more here.
Keywords: valued impulse; impulse noise; optimized direction; random valued ... See more keywords