Results 121 to 130 of about 1,447,541 (185)

Comparing energy-integrating detector and photon-counting detector-based breast cone beam CTs for microcalcification detection via Monte Carlo simulation. [PDF]

Phys Med Biol
Ollah Ezzati A, Hu X, Qi M, Lai Y, Zhong Y, Yang K, Jia X.   +6 more
europepmc   +1 more source

Simulation of Dense Star Map in Deep Space Based on Gaia Catalogue. [PDF]

Sensors (Basel)
Li P, Bao G, Zhou Z, Gong J.
europepmc   +1 more source

Structural Prior-Guided Weighted Low-Rank Denoising for Short-Wave Infrared Star Images. [PDF]

Sensors (Basel)
Wu C, Wang K, Wang T, Du G, Li X, Chen F.   +5 more
europepmc   +1 more source

Enhanced muscle MRI using deep learning: shorter acquisition time with improved image quality. [PDF]

PeerJ
Fan P, Zhang Z, Hou B, Liu D, Nickel MD, Zhu J, Dai Y, Wang Q, Wang F, Yu W, Feng F.   +10 more
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Super-resolution approach tailored for wafer transmission electron microscopy images. [PDF]

Sci Rep
Kim S, Baek I, Cho H, Jo Y, Roh H, Kim K, Jo M, Tae J, Kim SB.   +8 more
europepmc   +1 more source

Image quality and radiation dose of cone-beam CT versus multidetector CT for upper extremity osteosynthesis. [PDF]

Sci Rep
Gökduman A, Mahmoudi S, Booz C, Reschke P, D'Angelo T, Gotta J, Alizadeh LS, Grünewald LD, Bernatz S, Nejati M, Eichler K, Vogl TJ, Yel I.   +12 more
europepmc   +1 more source

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Quantum Noise Imaging

OSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES), 2021
We image an object solely illuminated with squeezed vacuum by analyzing the quantum noise statistics and show how the quality of the image is linked to the squeezing mode size and detection area.
Savannah L. Cuozzo, Pratik Barge, Nikunj Prajapati, Narayan Bhusal, Hwang Lee, Lior Cohen, Irina Novikova, Eugeniy E. Mikhailov   +7 more
openaire   +1 more source

Noise-Blind Image Deblurring

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
We present a novel approach to noise-blind deblurring, the problem of deblurring an image with known blur, but unknown noise level. We introduce an efficient and robust solution based on a Bayesian framework using a smooth generalization of the 0-1 loss. A novel bound allows the calculation of very high-dimensional integrals in closed form.
Meiguang Jin, Stefan Roth, Paolo Favaro
openaire   +1 more source

Noise in ultrasonic imaging

Ultrasonics, 1980
The feasibility of noise measurement in medical ultrasonic imaging has been studied and a theoretical evaluation of stochastic noise influence upon the perceived image has been undertaken. The influence of noise on a perceived image has been calculated by considering the light intensity perception characteristic of the human eye and it has been found ...
Viculin, Tomislav, Vojnović, Božidar, Breyer, Branko   +2 more
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Noise contributions for imaging spectrometers

Applied Optics, 1999
In the past decade imaging spectrometers for observation of the Earth were developed to use the complete information of a spectrum as a major tool in the study of physical and biological processes of the Earth. Instead of a few relatively broad spectral bands (line detector), this imager concept provides for the detection of many contiguous narrow ...
Nieke, J., Solbrig, M., Neumann, A.
openaire   +3 more sources