Signal-to-noise ratio estimation for SEM single image using cubic spline interpolation with linear least square regression
A novel technique based on cubic spline interpolation with linear least square regression
(CSILLSR) is developed to calculate the signal-to-noise ratio (SNR) of scanning electron …
(CSILLSR) is developed to calculate the signal-to-noise ratio (SNR) of scanning electron …
Magnetic resonance imaging noise filtering using adaptive polynomial-fit non-local means
© 2019, International Association of Engineers. All rights reserved. Every image, whether it
is a Magnetic Resonance (MR) image or a gray scale image, usually contains noise, which …
is a Magnetic Resonance (MR) image or a gray scale image, usually contains noise, which …
Case-control comparison brain lesion segmentation for early infarct detection
Computed Tomography (CT) images are widely used for the identification of abnormal brain
tissues following infarct and hemorrhage of a stroke. The treatment of this medical condition …
tissues following infarct and hemorrhage of a stroke. The treatment of this medical condition …
The performance of adaptive tuning piecewise cubic hermite interpolation model for signal-to-noise ratio estimation
A technique based on the piecewise cubic Hermite interpolation (PCHI) model was
previously applied to calculating the signal-to-noise ratio (SNR) in scanning electron …
previously applied to calculating the signal-to-noise ratio (SNR) in scanning electron …
[PDF][PDF] A Blind Noise Estimation and Removal in Histopathological Images
With the advancement in technology for digital pathology, a huge chunk of the visual dataset
is prepared for medical experts for disease diagnosis and grading. The introduction of noise …
is prepared for medical experts for disease diagnosis and grading. The introduction of noise …
Implicit volume ray cast mesh renderer for breast cancer detection
A 3D reconstruction method using Implicit Volume Ray Cast Mesh Renderer is proposed to
construct a 3D model from a series of real patient breast images. This method aims to …
construct a 3D model from a series of real patient breast images. This method aims to …
Modelling and estimate of the LTWM noise parameters
B Prlinčević, Z Milivojević - IOP Conference Series: Materials …, 2020 - iopscience.iop.org
In the first part of this paper, a statistical analysis of the noise in the image, as a result of the
insertion of the watermark by Liu and Tan algorithm, was performed. After that, using the …
insertion of the watermark by Liu and Tan algorithm, was performed. After that, using the …