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International Journal of Computer Assisted Radiology and Surgery, ISSN 1861-6410, 6/2018, Volume 13, Issue 6, pp. 847 - 854
Journal Article
Biomedical Signal Processing and Control, ISSN 1746-8094, 03/2012, Volume 7, Issue 2, pp. 173 - 179
Lowering the cumulative radiation dose to a patient undergoing fluoroscopic examination requires efficient denoising algorithms. We propose a method, which... 
Wavelets | Adaptive denoising | Spatio-temporal denoising | Fluoroscopic sequences | X-ray images | ENGINEERING, BIOMEDICAL | Equipment and supplies | Algorithms | Universities and colleges | Image processing | Nuclear radiation | Radiation
Journal Article
IET Conference Publications, 2018, Volume 2018, Issue 745, pp. 12 - 17
Conference Proceeding
2019 IEEE International Conference on Image Processing (ICIP), 09/2019, pp. 2424 - 2428
This paper presents a novel algorithm to estimate spatio-temporal noise variance in videos. The algorithm uses mutual information from the spatial and temporal... 
Correlation | Estimation | Color | Cameras | Complexity theory | video | Mathematical model | spatio-temporal noise | noise estimation | Noise level
Conference Proceeding
Signal Processing: Image Communication, ISSN 0923-5965, 09/2016, Volume 47, pp. 56 - 71
Development in low-cost depth acquisition devices pushes the relevant applications forward, which requires higher quality of the depth maps. In this paper, a... 
Depth denoising | Spatial classification | Joint spatio-temporal dithering | Texture edge extraction | IMAGE | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms | Broadband transmission | Analysis
Journal Article
2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS), 11/2018, pp. 96 - 100
Nowadays, air quality prediction is an important task. The main way to solve this problem is to use neural network, which are robust enough to handle time... 
Air quality prediction | Sparse Denoising auto-encoding | Neural networks | Spatio-temporal Dataset
Conference Proceeding
Biomedical Signal Processing and Control, ISSN 1746-8094, 09/2017, Volume 38, pp. 74 - 85
•A stochastic-distance-based motion-adaptive 3D nonlocal means filter is proposed.•This filter can be used to reduce noise in low-dose X-ray fluoroscopic... 
Spatio-temporal filtering | Nonlocal means | Low-dose X-ray fluoroscopy | Image denoising | Stochastic distance | IMAGE | ENGINEERING, BIOMEDICAL | SEQUENCE | POISSON NOISE | MEDICAL LABORATORY TECHNOLOGY | Medical equipment | Physiological apparatus | Noise control | Analysis | Visual perception
Journal Article
Infrared Physics and Technology, ISSN 1350-4495, 07/2016, Volume 77, pp. 193 - 202
•A new denoising methodology is proposed to process infrared images.•3D (spatio-temporal) denoising approach is reduced to 1D (signal processing)... 
Infrared thermography | Experimental mechanics | Sodalime glass | Indentation | Denoising | FOCAL-PLANE ARRAYS | TESTS | PHYSICS, APPLIED | STATISTICS | FIXED-PATTERN-NOISE | NONUNIFORMITY CORRECTION | THERMOGRAPHY | MECHANISMS | MODEL | DEFORMATION | INSTRUMENTS & INSTRUMENTATION | ENHANCEMENT | OPTICS | Image processing | Signal processing | Equipment and supplies | Physics
Journal Article
Applied Mechanics and Materials, ISSN 1660-9336, 06/2013, Volume 321-324, pp. 1230 - 1233
An algorithm of adaptive video denoising base on spatio-temporal combination is demonstrated. The adaptive threshold function is obtained through unary linear... 
Video denoising | Motion detection | Adaptive threshold | Spatio-temporal combination | Unary linear regression
Journal Article
Proceedings of the 31st International Conference on Computers and Their Applications, CATA 2016, 2016, pp. 221 - 226
Conference Proceeding
Applied Mechanics and Materials, ISSN 1660-9336, 07/2013, Volume 333-335, pp. 845 - 848
An algorithm of spatio-temporal combining video denoising based on structural similarity is proposed for the video surveillance system. By motion detection to... 
Video denoising | Motion detection | Spatio-temporal combination | Structural similarity
Journal Article
2017 International Joint Conference on Neural Networks (IJCNN), 05/2017, Volume 2017-, pp. 2362 - 2369
This work describes a novel spatio-temporal cellular automata-based filtering algorithm (st-CAF) intended for performing image sequence denoising processes.... 
Training | spatio-temporal denoising | Filtering | Noise reduction | signal dependent noise | Automata | Filtering algorithms | Image sequences | Cellular automata | low-dose x-ray image | Genetic algorithms | Low-dose x-ray image | Spatio-temporal denoising | Signal dependent noise
Conference Proceeding
IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, ISSN 1553-572X, 10/2014, pp. 2394 - 2399
The basic theory of video denoising is firstly systematically studied. Non-local means spatial domain filter method and its advantages compared to other... 
Algorithm design and analysis | Filtering | Spatio-temporal combination | Gaussian noise | Noise reduction | monitoring video denoising | Filtering algorithms | base station monitoring system | Monitoring | Non-local means filter
Conference Proceeding
Progress in Biomedical Optics and Imaging - Proceedings of SPIE, ISSN 1605-7422, 2013, Volume 8669
X-ray exposure during image guided interventions can be important for the patient as well as for the medical staff. Therefore dose reduction is a major... 
Curvelet transform | Fluoroscopic sequences | Spatio-temporal denoising | Coefficients dependencies | Low dose | Medical personnel | Image quality | Filtering | Noise | Noise reduction | Transforms | Images | Fluoroscopy
Conference Proceeding
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