Results 71 to 80 of about 1,447,541 (185)

Quantifying robustness of CT-ventilation biomarkers to image noise. [PDF]

Front Physiol, 2023
Flakus MJ, Wuschner AE, Wallat EM, Shao W, Shanmuganayagam D, Christensen GE, Reinhardt JM, Li K, Bayouth JE.   +8 more
europepmc   +1 more source

A comparison of the image quality between deep learning reconstruction algorithm and iDose4 using low dose abdominopelvic computed tomography for individuals with normal BMI

SAGE Open Medicine
Objectives: Radiation exposure has been a cause of concern in computed tomography imaging. Reducing radiation dose increases the image noise which can be compensated by using reconstruction techniques.
Thejas Marike Shivakumar, Nitika C. Panakkal, Shailesh Nayak, Rajagopal Kadavigere, Tanushree R. Kamath, Suresh Sukumar   +5 more
doaj   +1 more source

Fast non-local means noise reduction algorithm with acceleration function for improvement of image quality in gamma camera system: A phantom study

Nuclear Engineering and Technology, 2019
Gamma-ray images generally suffer from a lot of noise because of low photon detection in the gamma camera system. The purpose of this study is to improve the image quality in gamma-ray images using a gamma camera system with a fast nonlocal means (FNLM ...
Chan Rok Park, Youngjin Lee
doaj   +1 more source

The influence of dual-energy computed tomography image noise in proton therapy treatment planning. [PDF]

Phys Imaging Radiat Oncol, 2023
Näsmark T, Andersson J.
europepmc   +1 more source

Filtered back projection vs. iterative reconstruction for CBCT: effects on image noise and processing time. [PDF]

Dentomaxillofac Radiol, 2023
Ramage A, Lopez Gutierrez B, Fischer K, Sekula M, Santaella GM, Scarfe W, Brasil DM, de Oliveira-Santos C.   +7 more
europepmc   +1 more source

Deep Mean-Shift Priors for Image Restoration

, 2017
In this paper we introduce a natural image prior that directly represents a Gaussian-smoothed version of the natural image distribution. We include our prior in a formulation of image restoration as a Bayes estimator that also allows us to solve noise ...
Bigdeli, Siavash Arjomand, Favaro, Paolo, Jin, Meiguang, Zwicker, Matthias   +3 more
core  

Image compression sensing based on non-local feature fusion network

Journal of Radiation Research and Applied Sciences
The emphasis of study in the area of signal processing is image compression. The traditional signal sampling has the problem of signal distortion, and the compressed sensing theory has a good application effect.
Yongping Zhang
doaj   +1 more source

Image denoising method integrating ridgelet transform and improved wavelet threshold.

PLoS ONE
In the field of image processing, common noise types include Gaussian noise, salt and pepper noise, speckle noise, uniform noise and pulse noise. Different types of noise require different denoising algorithms and techniques to maintain image quality and
Bingbing Li, Yao Cong, Hongwei Mo
doaj   +1 more source

A novel image noise reduction method for composite multistable stochastic resonance systems. [PDF]

Heliyon, 2023
Jiao S, Shi J, Wang Y, Wang R.
europepmc   +1 more source

Elimination of coherent noise in a coherent light imaging system [PDF]

Optical imaging systems using coherent light introduce objectionable noise into the output image plane. Dust and bubbles on and in lenses cause most of the noise in the output image.
Grebowsky, G. J., Hermann, R. L., Paull, H. B., Shulman, A. R.   +3 more
core   +1 more source