Relevant bibliographies by topics / 2D undecimated wavelet transform

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Academic literature on the topic '2D undecimated wavelet transform'

Author: Grafiati
Published: 5 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "2D undecimated wavelet transform"

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Othman, Salah Ahmed Saeed, and Tarik Boudghene Stambouli. "Undecimated discrete wavelet transform for touchless 2D fingerprint identification." International Journal of Biometrics 8, no. 3/4 (2016): 202. http://dx.doi.org/10.1504/ijbm.2016.082595.

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Stambouli, Tarik Boudghene, and Salah Ahmed Saeed Othman. "Undecimated discrete wavelet transform for touchless 2D fingerprint identification." International Journal of Biometrics 8, no. 3/4 (2016): 202. http://dx.doi.org/10.1504/ijbm.2016.10003549.

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Li, Feipeng, Jinghuai Gao, Zhaoqi Gao, Xiudi Jiang, and Wenbo Sun. "Least-squares reverse time migration with sparse regularization in the 2D wavelet domain." GEOPHYSICS 85, no. 6 (2020): S313—S325. http://dx.doi.org/10.1190/geo2018-0763.1.

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The inadequate sampling of seismic data in the spatial dimension results in migration artifacts. Conventional least-squares reverse time migration (LSRTM) could improve the image quality. However, even LSRTM will not work in some inadequately sampling situations. To mitigate the impact of migration artifacts, we have developed a new LSRTM method with a sparse regularization, which takes advantage of the effective sparse representation of the subsurface reflectivity model in the 2D undecimated wavelet transform (UWT) domain. Different from other sparse regularizations, a sparseness constraint i
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Akila, J. Seneviratne, Peters Sean, Clarke David, et al. "Improved identification and quantification of peptides in mass spectrometry data via chemical and random additive noise elimination (CRANE)." Bioinformatics Volume 37, Issue 24 (2021): Pages 4719–4726. https://doi.org/10.1093/bioinformatics/btab563.

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The output of electrospray ionization–liquid chromatography mass spectrometry (ESI-LC-MS) is influenced by multiple sources of noise and major contributors can be broadly categorized as baseline, random and chemical noise. Noise has a negative impact on the identification and quantification of peptides, which influences the reliability and reproducibility of MS-based proteomics data. Most attempts at denoising have been made on either spectra or chromatograms independently, thus, important 2D information is lost because the mass-to-charge ratio and retention time dimensions are not consi
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Duan, Lixiang, Yangshen Wang, Jinjiang Wang, Laibin Zhang, and Jinglong Chen. "Undecimated Lifting Wavelet Packet Transform with Boundary Treatment for Machinery Incipient Fault Diagnosis." Shock and Vibration 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/9792807.

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Effective signal processing in fault detection and diagnosis (FDD) is an important measure to prevent failure and accidents of machinery. To address the end distortion and frequency aliasing issues in conventional lifting wavelet transform, a Volterra series assisted undecimated lifting wavelet packet transform (ULWPT) is investigated for machinery incipient fault diagnosis. Undecimated lifting wavelet packet transform is firstly formulated to eliminate the frequency aliasing issue in traditional lifting wavelet packet transform. Next, Volterra series, as a boundary treatment method, is used t
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Ciotirnae, Petrica, Catalin Dumitrescu, Ionut Cosmin Chiva, Augustin Semenescu, Eduard Cristian Popovici, and Diana Dranga. "Method for Noise Reduction by Averaging the Filtering Results on Circular Displacements Using Wavelet Transform and Local Binary Pattern." Electronics 13, no. 20 (2024): 4119. http://dx.doi.org/10.3390/electronics13204119.

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Algorithms for noise reduction that use the translation invariant wavelet transform indirectly are spatially selective filtering algorithms in the wavelet domain. These algorithms use the undecimated wavelet transform to accurately determine the coefficients corresponding to the contours in the images, these being processed differently from the other wavelet coefficients. The use of the undecimated wavelet transform in image noise reduction applications leads not only to an improvement in terms of Mean Square Error (MSE), but also in terms of the content quality of the processed images. In the
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G., Kannan. "License Plate Recognition Using Undecimated Wavelet Transform." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 3 (2018): 556–60. https://doi.org/10.11591/ijeecs.v9.i3.pp556-560.

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License Plate Recognition (LPR) is the mission of identifying the vehicle using number plate extraction. An efficient method for recognizing plate based on Undecimated Wavelet Transform (UWT) is proposed. Plates are recognized using features from undecimated coefficients in this system. Morphological edge detection technique is used to get accurate results after feature extraction. Finally detected images are used for classification purpose using the feature coefficients. This technique is applied to all the unidentified and training images, extracted features are used as input to Back Propaga
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Kannan, G. "License Plate Recognition Using Undecimated Wavelet Transform." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 3 (2018): 558. http://dx.doi.org/10.11591/ijeecs.v9.i3.pp558-560.

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<p>License Plate Recognition (LPR) is the mission of identifying the vehicle using number plate extraction. An efficient method for recognizing plate based on Undecimated Wavelet Transform (UWT) is proposed. Plates are recognized using features from undecimated coefficients in this system. Morphological edge detection technique is used to get accurate results after feature extraction. Finally detected images are used for classification purpose using the feature coefficients. This technique is applied to all the unidentified and training images, extracted features are used as input to Bac
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R, Umagowri, Soundararajan N, and Sakthisree B. "Object Recogniton Based on Undecimated Wavelet Transform." International Journal of Computing Algorithm 7, no. 1 (2018): 1–3. http://dx.doi.org/10.20894/ijcoa.101.007.001.001.

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Mingde, Bi, and Sun Zhigang. "Fabric Defect Detection using Undecimated Wavelet Transform." Information Technology Journal 10, no. 9 (2011): 1701–8. http://dx.doi.org/10.3923/itj.2011.1701.1708.

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Dissertations / Theses on the topic "2D undecimated wavelet transform"

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Chen, Shuo. "MALDI-TOF MS data processing using wavelets, splines and clustering techniques." [Johnson City, Tenn. : East Tennessee State University], 2004. http://etd-submit.etsu.edu/etd/theses/available/etd-1112104-113123/unrestricted/ChenS121404f.pdf.

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Thesis (M.S.)--East Tennessee State University, 2004.<br>Title from electronic submission form. ETSU ETD database URN: etd-1112104-113123 Includes bibliographical references. Also available via Internet at the UMI web site.
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Ecco, Daniel. "Remo??o de ru?dos s?smicos utilizando transformada de wavelet 1D e 2D com software em desenvolvimento." Universidade Federal do Rio Grande do Norte, 2011. http://repositorio.ufrn.br:8080/jspui/handle/123456789/12940.

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Made available in DSpace on 2014-12-17T14:08:44Z (GMT). No. of bitstreams: 1 DanielE_DISSERT.pdf: 1217613 bytes, checksum: edb565b9e30a0c09780fcf4efd4a52dc (MD5) Previous issue date: 2011-04-05<br>Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior<br>In the Hydrocarbon exploration activities, the great enigma is the location of the deposits. Great efforts are undertaken in an attempt to better identify them, locate them and at the same time, enhance cost-effectiveness relationship of extraction of oil. Seismic methods are the most widely used because they are indirect, i.e., probing
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Chiu, Bernard. "A new segmentation algorithm for prostate boundary detection in 2D ultrasound images." Thesis, Waterloo, Ont. : University of Waterloo, [Dept. of Electrical and Computer Engineering], 2003. http://etd.uwaterloo.ca/etd/bcychiu2003.pdf.

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Thesis (M.Sc.)--University of Waterloo, 2003.<br>"A thesis presented to the University of Waterloo in fulfilment of the thesis requirement for the degree of Master of Applied Science in Electrical and Computer Engineering". Includes bibliographical references.
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Hennenfent, Gilles, and Felix J. Herrmann. "Sparseness-constrained data continuation with frames: Applications to missing traces and aliased signals in 2/3-D." Society of Exploration Geophysicists, 2005. http://hdl.handle.net/2429/524.

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We present a robust iterative sparseness-constrained interpolation algorithm using 2/3D curvelet frames and Fourier-like transforms that exploits continuity along reflectors in seismic data. By choosing generic transforms, we circumvent the necessity to make parametric assumptions (e.g. through linear/parabolic Radon or demigration) regarding the shape of events in seismic data. Simulation and real data examples for data with moderately sized gaps demonstrate that our algorithm provides interpolated traces that accurately reproduce the wavelet shape as well as the AVO behavior. Our method also
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Walczysko, Martin. "Segmentace cév v obrazech sítnice." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218767.

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This thesis deals with method of blood vessels segmentation from retinal images acquired by fundus camera. There is explored possibility of using wavelet transform as fast outline segmentation. The thesis includes study problems of preprocessing input image and decomposition of image using 2D DWT. Furthermore there is explored possibility of parametrical images thresholding that ensue from application of 2D DWT. There are designed algorithms for cleaning off artifacts from rough vessel map of blood vessel structures. The realization of algorithm was solved in programming environment MATLAB. Th
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Zhou, Hang. "Modélisation de la propagation atmosphérique d'ondes électromagnétiques en 2D et 3D à partir de transformées de Fourier et en ondelettes." Thesis, Toulouse 3, 2018. http://www.theses.fr/2018TOU30018/document.

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La propagation à longue distance est un problème majeur dans les télécommunications, la navigation et la surveillance. L'objectif de cette thèse est de développer une méthode rapide pour simuler la propagation des ondes dans une atmosphère en 2D et 3D. Dans ce travail, deux contributions principales vers cet objectif sont obtenues. Tout d'abord, des méthodes auto-cohérentes,c'est-à-dire basées sur une théorie discrète de l'électromagnétisme, sont développées en 2D et 3D. Ensuite, une méthode rapide 2D basée sur les ondelettes est proposée. Pour simuler la propagation d'ondes électromagnétiques
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Sharma, Naresh. "Arbitrarily Shaped Virtual-Object Based Video Compression." Columbus, Ohio : Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1238165271.

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Novotný, Radek. "Aplikace waveletové transformace v software Mathematica a Sage." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-220339.

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This thesis focuses on image processing using wavelet transform. The usage of wavelet transform is analysed especially for image compression and image noise reduction purposes. The analysis describes in detail aspects and application of the following wavelet transform methods: CWT, DWT, DTWT, 2D DWT. The thesis further explains the meaning of the mother wavelet and studies certain specific kinds of wavelets, kinds of thresholding and its purposes and also touches on the JPEG2000 standard. Mathematica and Sage software packages were used to design algorithms for image compression and image nois
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Hanzálek, Pavel. "Praktické ukázky zpracování signálů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400849.

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The thesis focuses on the issue of signal processing. Using practical examples, it tries to show the use of individual signal processing operations from a practical point of view. For each of the selected signal processing operations, an application is created in MATLAB, including a graphical interface for easier operation. The division of the thesis is such that each chapter is first analyzed from a theoretical point of view, then it is shown using a practical demonstration of what the operation is used in practice. Individual applications are described here, mainly in terms of how they are h
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chien-yu, Chen, and 陳建瑜. "Programmable 2D Discrete Wavelet Transform Chip Design." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/29106082328233938302.

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碩士<br>國立臺灣大學<br>電機工程學研究所<br>87<br>This paper present a parallel processing VLSI architecture for implementing programmable 2D discrete wavelet transform. The proposed architecture present here can perform different 2D DWT, including different tap filter, different level wavelet operation. Moreover, this architecture is very regular and easy for extend. The boundary image is mirror-extended for eliminating high frequency component. The design has been fabricated in 0.35μm 1P4M CMOS technology and the working frequency is 50 MHz. The chip size is 5200μm * 2500 μm, and it contains 545,403 transis
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Book chapters on the topic "2D undecimated wavelet transform"

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Unaldi, Numan, and Vijayan K. Asari. "Undecimated Wavelet Transform-Based Image Interpolation." In Advances in Visual Computing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17277-9_49.

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Serrano, Eduardo P., and Marcela A. Fabio. "Undecimated Wavelet Transform from Orthogonal Spline Wavelets." In Wavelet Theory and Harmonic Analysis in Applied Sciences. Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-2010-7_3.

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Gómez, Alejandro, Juan P. Ugarte, and Diego Mauricio Murillo Gómez. "Bioacoustic Signals Denoising Using the Undecimated Discrete Wavelet Transform." In Communications in Computer and Information Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00353-1_27.

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Li, Ying, Jianglin Yang, Li Sun, and Yanning Zhang. "SAR Speckle Reduction Based on Undecimated Tree-Structured Wavelet Transform." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11881223_88.

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Liu, Wei, Jie Huang, and Yongjun Zhao. "Image Fusion Based on PCA and Undecimated Discrete Wavelet Transform." In Neural Information Processing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11893257_54.

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Harivinod, N., and B. H. Shekar. "Multimodal Biometric System Using Undecimated Dual-Tree Complex Wavelet Transform." In Advances in Intelligent Systems and Computing. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7088-6_56.

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Meenakshi, K., K. Swaraja, Padmavathi Kora, and G. Karuna. "A Robust Blind Oblivious Video Watermarking Scheme Using Undecimated Discrete Wavelet Transform." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5400-1_17.

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Hamidu, Nullo Majid, Qingling Liu, and Chaozhu Zhang. "Medical Image Fusion Based on Undecimated Dual-Tree Complex Wavelet Transform and NSCT." In Data Mining and Big Data. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7502-7_43.

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Kiran Maye, G., and T. Srinivasulu. "Level Skip VLSI Architecture for 2D-Discrete Wavelet Transform." In Innovations in Computer Science and Engineering. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3818-1_38.

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Kith, Kimcheng, and El-hadi Zahzah. "2D Shape Recognition Using Discrete Wavelet Descriptor Under Similitude Transform." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30503-3_52.

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Conference papers on the topic "2D undecimated wavelet transform"

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Dhabliya, Dharmesh, A. Amudha, Shreya Ghosal, J. Joyce Jacob, Prateek Aggarwal, and Pallavi. "2D Rises Wavelet Transform for Multiscale Texture Enhancement in Medical Imaging." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10725719.

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Song, Beibei. "Improve the Directional Representation of 2D M-band Undecimated Wavelet Transforms." In Fifth International Conference on Image and Graphics (ICIG 2009). IEEE, 2009. http://dx.doi.org/10.1109/icig.2009.67.

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Raj, V. Naga Prudhvi, and T. Venkateswarlu. "ECG signal denoising using Undecimated Wavelet Transform." In 2011 3rd International Conference on Electronics Computer Technology (ICECT). IEEE, 2011. http://dx.doi.org/10.1109/icectech.2011.5941808.

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Yu-Feng Li. "Image denoising based on undecimated discrete wavelet transform." In 2007 International Conference on Wavelet Analysis and Pattern Recognition. IEEE, 2007. http://dx.doi.org/10.1109/icwapr.2007.4420726.

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Liu, Hongli, and LiYing Ye. "Image recognition algorithm undecimated wavelet transform coupling moment." In 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016). Atlantis Press, 2016. http://dx.doi.org/10.2991/ameii-16.2016.263.

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Kitanovski, V., D. Taskovski, and L. Panovski. "Multi-scale Edge Detection Using Undecimated Wavelet Transform." In 2008 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT). IEEE, 2008. http://dx.doi.org/10.1109/isspit.2008.4775721.

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Raj, V. Naga Prudhvi, and T. Venkateswarlu. "Denoising of medical images using undecimated wavelet transform." In 2011 IEEE Recent Advances in Intelligent Computational Systems (RAICS). IEEE, 2011. http://dx.doi.org/10.1109/raics.2011.6069359.

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Rajesh, D. S., and B. H. Shekar. "Undecimated dual tree complex wavelet transform based face recognition." In 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, 2016. http://dx.doi.org/10.1109/icacci.2016.7732132.

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Zheng, Chuanxing, and Yiming Zhang. "An Improved Spatially Selective Filter using Undecimated Wavelet Transform." In 2007 IEEE 15th Signal Processing and Communications Applications. IEEE, 2007. http://dx.doi.org/10.1109/siu.2007.4298768.

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Elmansouri, Khalifa, Rachid Latif, and Fadl Maoulainine. "Efficient Fetal Heart Rate extraction using Undecimated Wavelet Transform." In 2014 Second World Conference on Complex Systems (WCCS). IEEE, 2014. http://dx.doi.org/10.1109/icocs.2014.7060987.

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Reports on the topic "2D undecimated wavelet transform"

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Anderson, Gerald L., and Kalman Peleg. Precision Cropping by Remotely Sensed Prorotype Plots and Calibration in the Complex Domain. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7585193.bard.

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This research report describes a methodology whereby multi-spectral and hyperspectral imagery from remote sensing, is used for deriving predicted field maps of selected plant growth attributes which are required for precision cropping. A major task in precision cropping is to establish areas of the field that differ from the rest of the field and share a common characteristic. Yield distribution f maps can be prepared by yield monitors, which are available for some harvester types. Other field attributes of interest in precision cropping, e.g. soil properties, leaf Nitrate, biomass etc. are ob
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