S. I. Olsen. Estimation of noise in images: an evaluation. Graphical Models and Image Processing, 55(4):319-323, 1993.Estimation of noise in images: an evaluation. Olsen S I. CVGIP Graphical Models and Image Pr
Noise removal in multichannel image data by a parametric maximum noise fractions estimator. In: Proceedings of the 24th International Symposium on Remote Sensing of Environment, Rio de Janeiro, Brazil, 1991. 403–416 Olsen S I. Estimation of noise in images: an evaluation. Graph Model Image ...
A Blind Method for Additive Noise Variance Evaluation Based on Homogeneous Region Detection Using the Fourth Central Moment Analysis. Telecommun. Radio Eng. 2015, 74, 1651–1669. [CrossRef] 16. Olsen, S.I. Estimation of noise in images: An evaluation. Graph. Models Image Proc. 1993, 55, ...
Quantifying behavior is crucial for many applications in neuroscience. Videography provides easy methods for the observation and recording of animal behavior in diverse settings, yet extracting particular aspects of a behavior for further analysis can be
However, relying solely on spatial attention can be prone to image noise and increase errors. Based on the work of CA25, we propose a novel CCAM to model the channel-spatial mixed domain of image features. CCAM models different positions in the feature space along the width and height ...
1. A method for estimating noise levels in an image comprising the steps of: determining direct current (DC) values and alternating current (AC) values of discrete cosine transform (DCT) coefficients in each of selected data blocks of a coded image; classifying the selected data blocks into ca...
In order to avoid this problem, thresholding is used as a common way of noise reduction. Therefore, a threshold function depending on the frame and angle interval is proposed to be used in the weighted frame velocity function. (17)τfiαβ=SVfiαβSVfi,0,2π,SVfiαβSVfi,0,2π<C1,...
Contrastive representation learning has proven to be an effective self-supervised learning method for images and videos. Most successful approaches are based on Noise Contrastive Estimation (NCE) and use different views of an instance as positives that should be contrasted with other instances, called ...
Performance evaluation of a class of M-estimators for surface parameter estimation in noisy range data Depth maps are frequently analyzed as if the errors are normally, identically, and independently distributed. This noise model does not consider at least t... MJ Mirza,KL Boyer - 《IEEE Transac...
When extracting the animal trajectory, due to the influence of noise, all the contour centre points are recorded as the candidates of the animal frame centre point, and the closest point to each animal in the previous frame is selected from multiple centre points as the true centre point of ...