Results 31 to 40 of about 1,447,541 (185)

Time-sequential Pipelined Imaging with Wavefront Coding and Super Resolution [PDF]

, 2017
Wavefront coding has long offered the prospect of mitigating optical aberrations and extended depth of field, but image quality and noise performance are inevitably reduced. We report on progress in the use of agile encoding and pipelined fusion of image
Bradburn, Downing, Dowski, Muyo, Prasad, Vettenburg, Zammit   +6 more
core   +1 more source

Perbandingan Algoritma Contraharmonic Mean Filter dan Arithmetic Mean Filter untuk Mereduksi Exponential Noise

JISKA (Jurnal Informatika Sunan Kalijaga), 2020
Noise in the image caused a decrease in image quality, so that the image will look dirty and spots appear on the resulting image. Noise also results in reduced information on the resulting image so that noise limits valuable information when image ...
Mhd Furqan, Sriani Sriani, Yuli Kartika Siregar   +2 more
doaj   +1 more source

Performance of a Deep Learning Reconstruction Method on Clinical Chest–Abdomen–Pelvis Scans from a Dual-Layer Detector CT System

Tomography
Objective: The objective of this study was to compare the performance and robustness of a deep learning reconstruction method against established alternatives for soft tissue CT image reconstruction.
Christopher Schuppert, Stefanie Rahn, Nikolas D. Schnellbächer, Frank Bergner, Michael Grass, Hans-Ulrich Kauczor, Stephan Skornitzke, Tim F. Weber, Thuy D. Do   +8 more
doaj   +1 more source

An Adaptive Filter for Image Noise Removal Using Chi-Square Goodness-of-Fit to Uniform Distribution [PDF]

Engineering and Technology Journal, 2013
Noise is any undesired information that contaminates an image. The ideal situation (no noise) never occurs in practice, so there is a little point in ignoring it. Hence, one of the primary concerns of digital image processing is to increase image quality
Abdulameer A. Kareem, Abdul Monem S. Rahma, Hilal H. salih   +2 more
doaj   +1 more source

Study on cascade noise figure of receivers with down converter

Dianzi Jishu Yingyong, 2021
According to the definition of noise figure，this paper deduces the cascade noise figure formula of receivers with mixers. By using this formula，it is easy to calculate and analysis the system noise figure affected by the device noise figure, gain and ...
Zhang Guangxian
doaj   +1 more source

Hyperspectral Image Destriping and Denoising Using Stripe and Spectral Low-Rank Matrix Recovery and Global Spatial-Spectral Total Variation

Remote Sensing, 2021
Hyperspectral image (HSI) is easily corrupted by different kinds of noise, such as stripes, dead pixels, impulse noise, Gaussian noise, etc. Due to less consideration of the structural specificity of stripes, many existing HSI denoising methods cannot ...
Fang Yang, Xin Chen, Li Chai
doaj   +1 more source

Statistical evaluation of visual quality metrics for image denoising

, 2017
This paper studies the problem of full reference visual quality assessment of denoised images with a special emphasis on images with low contrast and noise-like texture.
Egiazarian, Karen, Ieremeiem, Oleg, Lukin, Vladimir, Ponomarenko, Mykola   +3 more
core   +1 more source

Consistent joint photometric and geometric image registration [PDF]

, 2010
In this paper, we derive a novel robust image alignment technique that performs joint geometric and photometric registration in the total least square sense.
Goossens, Bart, Luong, Hiep, Philips, Wilfried, Pizurica, Aleksandra   +3 more
core   +2 more sources

Noise Reduction in Brain CT: A Comparative Study of Deep Learning and Hybrid Iterative Reconstruction Using Multiple Parameters

Tomography
Objectives: We evaluated the noise reduction effects of deep learning reconstruction (DLR) and hybrid iterative reconstruction (HIR) in brain computed tomography (CT).
Yusuke Inoue, Hiroyasu Itoh, Hirofumi Hata, Hiroki Miyatake, Kohei Mitsui, Shunichi Uehara, Chisaki Masuda   +6 more
doaj   +1 more source

Evaluation of tube current modulation programms for the optimization of scan protocols in computed tomography

Радиационная гигиена, 2019
Computed tomography (CT) is commonly associated with relatively high patient doses. In order to keep the patient doses from the CT examinations on the acceptable level it is necessary to apply the principle of optimization.
L. A. Chipiga
doaj   +1 more source