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Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder

Abdullah Al Safi, Christian Beyer, Vishnu Unnikrishnan, Myra Spiliopoulou
2020 International Symposium on Intelligent Data Analysis  
2D images using Gramian Angular Summation Field (GASF).  ...  This work proposes a modified Convolutional Denoising Autoencoder (CDA) based approach to impute multivariate time series data in combination with a preprocessing step that encodes time series data into  ...  We also employ a preprocessing step that turns the time series into 2D images based on Gramian Angular Summation Fields in order to make the data more suitable for our CDA.  ... 
doi:10.1007/978-3-030-44584-3_1 dblp:conf/ida/SafiBUS20 fatcat:ohmm3kxiyzgwth7od2t6grlvp4

Ridgelet based Feature Extraction for Breast Cancer Detection using Ultrasound Images

M. Kathiravan, M. Sundar Raj
2015 Indian Journal of Science and Technology  
Results shows that the ridgelet based feature extraction can effectively differentiate the state of cancer.  ...  Ultrasound imaging is an effective tool in the detection of breast cancer because of its non ionizing radiation and low cost.  ...  Results shows that the weiner based filtering Figure 1 . 1 Results of denoising in sample image. (a) Original image. (b) Mean filtered image. (c) Median denoised image. (d) Weiner denoised image.  ... 
doi:10.17485/ijst/2015/v8i31/87752 fatcat:robzvtlitje4fdo5pcnesmdha4

Classification of Breast Cancer using Ridgelet based Feature Extraction

M. Kathiravan, R. Jegannthan
2015 Indian Journal of Science and Technology  
The Performance of the feature selection methods best feature selection method is evaluated based on the results.  ...  Speckle noises in the ultrasound images are reduced by mean, Weiner and filtering techniques and region of interest is cropped from the filtered image.  ...  This work presents mean, Weiner, lee based filtering techniques to remove the speckle noise in ultrasound images Figure 3 shows the original image and denoised image by various denoising methods.  ... 
doi:10.17485/ijst/2015/v8i31/87269 fatcat:gzaamg2ksnahzoypglh2swl7ba

Comparitive Study of Astronomical Image Denoising Using Richardson Lucy Deconvolution Algorithm With Wavelet Thresholding

Rishidas. S, Rolitta V Babu, Sujith Kumar T P
2015 International Journal of Engineering Research and  
Richardson Lucy deconvolution is a conventional method that is used for this denoising. In this paper we have implemented this Richardson Lucy deconvolution algorithm after a preprocessing.  ...  Denoising astronomical images which is corrupted by huge sources of celestial and atmospheric noises is a field of great importance.  ...  Many wavelet based thresholding techniques like Visu shrink, Oracle Shrink, Normal shrink have proved better efficiency in image denoising [12] . B D.  ... 
doi:10.17577/ijertv4is040056 fatcat:wwj7o5xrfzhzhbapeuglhwluym

An adaptive perception-based image preprocessing method

V. Bruni, I. Selesnick, L. Tarchi, D. Vitulano
2015 2015 23rd European Signal Processing Conference (EUSIPCO)  
The aim of this paper is to introduce an adaptive preprocessing procedure based on human perception in order to increase the performance of some standard image processing techniques.  ...  The 2D Rational dilation wavelet transform has been employed for representing image frequencies.  ...  In particular, for Lena image the gain is from 0.57 db to 4.70 db for the preprocessed image I P and from -0.36 db to 2.58 db for I P,d for the preprocessed and denoised image; on the contrary, for Barbara  ... 
doi:10.1109/eusipco.2015.7362801 dblp:conf/eusipco/BruniSTV15 fatcat:jpnutgoxy5govkpqgmjxb2seja

Robust mesh denoising based on collaborative filters

Yan XING, Long BAI, Jieqing TAN, Peilin HONG
2018 Journal of Advanced Mechanical Design, Systems, and Manufacturing  
In this paper, we present effective collaborative filters for mesh denoising based on vertex classification.  ...  Mesh denoising is crucial for improving imperfect mesh models corrupted with raw or synthetic noise.  ...  We also thank Mingqiang Wei for providing the results of (Wei et al., 2015) and (Wei et al., 2017) , and Xuequan Lu for providing the results of (Lu et al., 2017) .  ... 
doi:10.1299/jamdsm.2018jamdsm0084 fatcat:3txa6nodfzbm3eqyt5brijda2q

Diffusion MRI Head Motion Correction Methods are Highly Accurate but Impacted by Denoising and Sampling Scheme [article]

Matthew Cieslak, Philip A Cook, Tinashe M Tapera, Hamsanandini Radhakrishnan, Mark A Elliott, David R Roalf, Desmond J Oathes, Danielle S Bassett, M Dylan Tisdall, Ariel Rokem, Scott T Grafton, Theodore D Satterthwaite
2022 bioRxiv   pre-print
Recently, the 3dSHORE-based SHORELine method was introduced to correct any dMRI sequence that has more than one shell.  ...  Correcting head motion artifacts in diffusion-weighted MRI (dMRI) scans is particularly challenging due to the dramatic changes in image contrast at different gradient strengths and directions.  ...  This process is repeated up to 2 times based upon user specifications.  ... 
doi:10.1101/2022.07.21.500865 fatcat:nbzt2k4tgramhlz6ubhycijnyy

Vascular Deformation Analysis Based on in Vivo Intravascular Optical Coherence Tomography Imaging

Ju Huang and Cuiru Sun
2019 MCB Molecular and Cellular Biomechanics  
Image filtering plays a very important role in image processing. Median filter was used to filter salt and pepper noise in OCT images.  ...  Intravascular optical coherence tomography (OCT) has the characteristics of high resolution and fast imaging speed.  ...  In vivo pig carotid artery OCT images is noisy and has low contrast, Algorithm was designed by digital image processing method, and the image was preprocessed, including of which image denoising, smoothing  ... 
doi:10.32604/mcb.2019.05738 fatcat:ygeuqwon6vefbf5tbyjd625z5q

Deep denoising for multi-dimensional synchrotron X-ray tomography without high-quality reference data

Allard A. Hendriksen, Minna Bührer, Laura Leone, Marco Merlini, Nicola Vigano, Daniël M. Pelt, Federica Marone, Marco di Michiel, K. Joost Batenburg
2021 Scientific Reports  
To circumvent this problem, methods for CNN-based denoising have recently been proposed that require no separate training data beyond the already available noisy reconstructions.  ...  Results on real-world datasets establish that Noise2Inverse is capable of accurate denoising and enables a substantial reduction in acquisition time while maintaining image quality.  ...  The following additional software packages have been used to compute and visualize the experiments: ASTRA-toolbox, Tomopy, pyFAI, Matplotlib, and scikit-image 47-51 .  ... 
doi:10.1038/s41598-021-91084-8 pmid:34088936 fatcat:gnlyq6vgwrd5xptucnfwade3ra

A Novel NSCT based Illuminant Invariant Extraction with Optimized Edge Detection Technique for Face Recognition

S. H.KrishnaVeni, K. L. Shunmuganathan, L. Padma Suresh
2013 International Journal of Computer Applications  
For feature extraction, a normal shrink filter in NSCT domain denoising technique is applied which produces illuminant invariant for the given image.  ...  ABTRACT A novel integrated approach for resolving the effect of illumination changes on face recognition is proposed.  ...  NSCT-based denoising model for illumination invariant extraction The stages to generate the NSCT are 1) 2-directional wavelet transform to generate LL, Hh and Hv. 2) Finer directional decomposition of  ... 
doi:10.5120/11940-7733 fatcat:xrzs6n6zdfd7nfp76hamhvlxeu

Breast tissue classification in digital tomosynthesis images based on global gradient minimization and texture features

Xulei Qin, Guolan Lu, Ioannis Sechopoulos, Baowei Fei, Sebastien Ourselin, Martin A. Styner
2014 Medical Imaging 2014: Image Processing  
However, classifying breast tissue in DBT is a challenging problem because DBT images include complicated structures, image noise, and outof-plane artifacts due to limited angular tomographic sampling.  ...  The evaluation results demonstrated the feasibility of the proposed method for classifying breast glandular and fat tissue on DBT images.  ...  (d) Denoising results after bilateral filtering. Figure 4 . 4 The comparison of the image intensities between the original image (a) and the preprocessed image (c).  ... 
doi:10.1117/12.2043828 pmid:25426271 pmcid:PMC4241347 dblp:conf/miip/QinLSF14 fatcat:qc6wrjeur5d27of2d4xazvwryi

Preprocessing and Enhancement for Image Fusion using Composite Algorithm

Shirish Kulkarni, Bhavesh Digey, M.D. Patil, V.A. Vyawahare
2020 ITM Web of Conferences  
However, considering practical execution still there is need for improvement in pre-processing for image processing applications.  ...  Therefore, the problem of blockage and variation in scans of patients, need to be overcome by properly align and denoise input images.  ...  PROPOSED IMAGE REGISTRATION METHOD For spinning and zooming geometric effects in image Log-Polar Transform technique is used. In this method, angular and scaling effect occurs as translation.  ... 
doi:10.1051/itmconf/20203203043 fatcat:zmxkwjwwqba3dpnhymslvjbmpa

A detail preserving neural network model for Monte Carlo denoising

Weiheng Lin, Beibei Wang, Lu Wang, Nicolas Holzschuch
2020 Computational Visual Media  
To reduce the cost, one solution is Monte Carlo denoising, which renders the image with fewer samples per pixel (as little as 128) and then denoises the resulting image.  ...  Our method denoises Monte Carlo path traced images while preserving details much better than previous methods.  ...  Previous work Machine learning based Monte Carlo denoising Kalantari et al. [5] introduced neural networks for Monte Carlo denoising.  ... 
doi:10.1007/s41095-020-0167-7 fatcat:cozemwjkkzbwdc2hkwlzyalwxe

Intelligent Clothing Design and Data Acquisition under the Scientific Graphics Programming Combined with Wearable Multisensor

Mengshu Ding, Qistina Donna Lee Abdullah, Salmiah bt Abdul Hamid
2022 Mathematical Problems in Engineering  
Moreover, MATLAB programming is used for preprocessing of collected images. It is also used for grey normalization, filtering denoising, and image sharpening.  ...  After denoising the image with salt-and-pepper noise and Gaussian noise, the median filter and mean filter have defects.  ...  MATLAB for Filtering and Denoising Preprocessing.  ... 
doi:10.1155/2022/2474047 doaj:783c4b7c221b45bfbbd859ad626e31b2 fatcat:3gpg2doji5f7plthlze6mbzlv4

Processing and fusion of passively acquired, millimeter and terahertz images of the human body

Li Tian, Yanchun Shen, Weiqi Jin, Guozhong Zhao, Yi Cai
2017 Optical Engineering: The Journal of SPIE  
algorithm to register images, and a wavelet-based image fusion algorithm to fuse the preprocessed images.  ...  In the algorithm, a block-matching and three-dimensional filtering denoising algorithm is employed to filter noise, an adaptive histogram equalization algorithm to enhance images, an intensity-based registration  ...  In principle, for the same spatial angular frequency, the smaller the MDTD, the higher the system detection rate.  ... 
doi:10.1117/1.oe.56.4.043102 fatcat:uam6hcbu7rdlxcgzbe7mxpgdzy
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