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Dissertations / Theses on the topic 'DWT (Discrete Wavelet Transform)'

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Published: 3 June 2025

Last updated: 20 July 2025

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1

Johansson, Gustaf. "Scalable video coding using the Discrete Wavelet Transform : Skalbar videokodning med användning av den diskreta wavelettransformen." Thesis, Linköping University, Information Coding, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-54637.

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<p>A method for constructing a highly scalable bit stream for video coding is presented in detail and implemented in a demo application with a GUI in the Windows Vista operating system.</p><p>The video codec uses the Discrete Wavelet Transform in both spatial and temporal directions together with a zerotree quantizer to achieve a highly scalable bit stream in the senses of quality, spatial resolution and frame rate.</p><br><p>I detta arbete presenteras en metod för att skapa en mycket skalbar videoström. Metoden implementeras sedan i sin helhet i programspråken C och C++ med ett grafiskt anvä

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Boland, Simon Daniel. "High quality audio coding using the wavelet transform." Thesis, Queensland University of Technology, 1998.

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3

Abdallah, Abdallah Sabry. "Investigation of New Techniques for Face detection." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/33191.

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The task of detecting human faces within either a still image or a video frame is one of the most popular object detection problems. For the last twenty years researchers have shown great interest in this problem because it is an essential pre-processing stage for computing systems that process human faces as input data. Example applications include face recognition systems, vision systems for autonomous robots, human computer interaction systems (HCI), surveillance systems, biometric based authentication systems, video transmission and video compression systems, and content based image retrie

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4

Jassim, Taha D. "Combined robust and fragile watermarking algorithms for still images. Design and evaluation of combined blind discrete wavelet transform-based robust watermarking algorithms for copyright protection using mobile phone numbers and fragile watermarking algorithms for content authentication of digital still images using hash functions." Thesis, University of Bradford, 2014. http://hdl.handle.net/10454/6460.

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This thesis deals with copyright protection and content authentication for still images. New blind transform domain block based algorithms using one-level and two-level Discrete Wavelet Transform (DWT) were developed for copyright protection. The mobile number with international code is used as the watermarking data. The robust algorithms used the Low-Low frequency coefficients of the DWT to embed the watermarking information. The watermarking information is embedded in the green channel of the RGB colour image and Y channel of the YCbCr images. The watermarking information is scrambled

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Jassim, Taha Dawood. "Combined robust and fragile watermarking algorithms for still images : design and evaluation of combined blind discrete wavelet transform-based robust watermarking algorithms for copyright protection using mobile phone numbers and fragile watermarking algorithms for content authentication of digital still images using hash functions." Thesis, University of Bradford, 2014. http://hdl.handle.net/10454/6460.

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This thesis deals with copyright protection and content authentication for still images. New blind transform domain block based algorithms using one-level and two-level Discrete Wavelet Transform (DWT) were developed for copyright protection. The mobile number with international code is used as the watermarking data. The robust algorithms used the Low-Low frequency coefficients of the DWT to embed the watermarking information. The watermarking information is embedded in the green channel of the RGB colour image and Y channel of the YCbCr images. The watermarking information is scrambled by usi

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6

Donovan, Rory Larson. "Hand (Motor) Movement Imagery Classification of EEG Using Takagi-Sugeno-Kang Fuzzy-Inference Neural Network." DigitalCommons@CalPoly, 2017. https://digitalcommons.calpoly.edu/theses/1754.

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Approximately 20 million people in the United States suffer from irreversible nerve damage and would benefit from a neuroprosthetic device modulated by a Brain-Computer Interface (BCI). These devices restore independence by replacing peripheral nervous system functions such as peripheral control. Although there are currently devices under investigation, contemporary methods fail to offer adaptability and proper signal recognition for output devices. Human anatomical differences prevent the use of a fixed model system from providing consistent classification performance among various subjects.

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Koglin, Ryan W. "Efficient Image Processing Techniques for Enhanced Visualization of Brain Tumor Margins." University of Akron / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=akron1415835138.

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8

Kang, Pengju. "On-line condition assessment of power transformer on-load tap-changers : transient vibration analysis using wavelet transform and self organising map." Thesis, Queensland University of Technology, 2000.

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9

Chintala, Bala Venkata Sai Sundeep. "Objective Perceptual Quality Assessment of JPEG2000 Image Coding Format Over Wireless Channel." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17785.

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A dominant source of Internet traffic, today, is constituted of compressed images. In modern multimedia communications, image compression plays an important role. Some of the image compression standards set by the Joint Photographic Expert Group (JPEG) include JPEG and JPEG2000. The expert group came up with the JPEG image compression standard so that still pictures could be compressed to be sent over an e-mail, be displayed on a webpage, and make high-resolution digital photography possible. This standard was originally based on a mathematical method, used to convert a sequence of data to the

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10

Čáp, Martin. "Sledování trendů elektrické aktivity srdce časově-frekvenčním rozkladem." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-218005.

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Work is aimed at the time-frequency decomposition of a signal application for monitoring the EKG trend progression. Goal is to create algorithm which would watch changes in the ST segment in EKG recording and its realization in the Matlab program. Analyzed is substance of the origin of EKG and its measuring. For trend calculations after reading the signal is necessary to preprocess the signal, it consists of filtration and detection of necessary points of EKG signal. For taking apart, also filtration and measuring the signal is used wavelet transformation. Source of the data is biomedicine dat

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Holdova, Kamila. "Klasifikace spánkových EEG." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-219944.

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This thesis deals with wavelet analysis of sleep electroencephalogram to sleep stages scoring. The theoretical part of the thesis deals with the theory of EEG signal creation and analysis. The polysomnography (PSG) is also described. This is the method for simultaneous measuring the different electrical signals; main of them are electroencephalogram (EEG), electromyogram (EMG) and electrooculogram (EOG). This method is used to diagnose sleep failure. Therefore sleep, sleep stages and sleep disorders are also described in the present study. In practical part, some results of application of disc

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12

Anton, Wirén. "The Discrete Wavelet Transform." Thesis, Mälardalens högskola, Akademin för utbildning, kultur och kommunikation, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-55063.

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In this thesis we will explore the theory behind wavelets. The main focus is on the discrete wavelet transform, although to reach this goal we will also introduce the discrete Fourier transform as it allow us to derive important properties related to wavelet theory, such as the multiresolution analysis. Based on the multiresolution it will be shown how the discrete wavelet transform can be formulated and show how it can be expressed in terms of a matrix. In later chapters we will see how the discrete wavelet transform can be generalized into two dimensions, and discover how it can be used in i

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Pires, Paulo Roberto da Motta. "Processamento Inteligente de Sinais de Press?o e Temperatura Adquiridos Atrav?s de Sensores Permanentes em Po?os de Petr?leo." Universidade Federal do Rio Grande do Norte, 2012. http://repositorio.ufrn.br:8080/jspui/handle/123456789/12970.

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Made available in DSpace on 2014-12-17T14:08:50Z (GMT). No. of bitstreams: 1 PauloRMP_capa_ate_pag32.pdf: 5057325 bytes, checksum: bf8da0b02ad06ee116c93344fb67e976 (MD5) Previous issue date: 2012-02-06<br>Originally aimed at operational objectives, the continuous measurement of well bottomhole pressure and temperature, recorded by permanent downhole gauges (PDG), finds vast applicability in reservoir management. It contributes for the monitoring of well performance and makes it possible to estimate reservoir parameters on the long term. However, notwithstanding its unquestionable value, d

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Dvořák, Martin. "Výukový video kodek." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219882.

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The first goal of diploma thesis is to study the basic principles of video signal compression. Introduction to techniques used to reduce irrelevancy and redundancy in the video signal. The second goal is, on the basis of information about compression tools, implement the individual compression tools in the programming environment of Matlab and assemble simple model of the video codec. Diploma thesis contains a description of the three basic blocks, namely - interframe coding, intraframe coding and coding with variable length word - according the standard MPEG-2.

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Grzeszczak, Aleksander. "VLSI architecture for Discrete Wavelet Transform." Thesis, University of Ottawa (Canada), 1995. http://hdl.handle.net/10393/9908.

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In this thesis, we present a new simple and efficient VLSI architecture (DWT-SA) for computing the Discrete Wavelet Transform. The proposed architecture is systolic in nature, modular and extendible to 1-D or 2-D DWT transform of any size. The DWT-SA has been designed, simulated and implemented in silicon. The following are the features of the DWT-SA architecture: (1) It has an efficient (close to 100%) hardware utilization. (2) It works with data streams of arbitrary size. (3) The design is cascadable, for computation of one, two or three dimensional DWT. (4) It requires a minimum interface c

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Janáková, Jaroslava. "Odhad dechové frekvence z elektrokardiogramu a fotopletysmogramu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442594.

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The master thesis deals with the issue of gaining the respiratory rate from ECG and PPG signals, which are not only in clinical practice widely used measurable signals. The theoretical part of the work outlines the issue of obtaining a breath curve from these signals. The practical part of the work is focused on the implementation of five selected methods and their final evaluation and comparison.

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Urbánek, Pavel. "Komprese obrazu pomocí vlnkové transformace." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236385.

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This thesis is focused on subject of image compression using wavelet transform. The first part of this document provides reader with information about image compression, presents well known contemporary algorithms and looks into details of wavelet compression and following encoding schemes. Both JPEG and JPEG 2000 standards are introduced. Second part of this document analyzes and describes implementation of image compression tool including inovations and optimalizations. The third part is dedicated to comparison and evaluation of achievements.

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Sari, Huseyin. "Motion Estimation Using Complex Discrete Wavelet Transform." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1223205/index.pdf.

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The estimation of optical flow has become a vital research field in image sequence analysis especially in past two decades, which found applications in many fields such as stereo optics, video compression, robotics and computer vision. In this thesis, the complex wavelet based algorithm for the estimation of optical flow developed by Magarey and Kingsbury is implemented and investigated. The algorithm is based on a complex version of the discrete wavelet transform (CDWT), which analyzes an image through blocks of filtering with a set of Gabor-like kernels with different scales and orientations

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19

Logue, James K. "The discrete, orthogonal wavelet transform, a projective approach." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1995. http://handle.dtic.mil/100.2/ADA304330.

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20

Chan, Kenny Lee-Lung. "Finite wordlength effects in discrete time wavelet transform." Thesis, University of Ottawa (Canada), 1999. http://hdl.handle.net/10393/8698.

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This thesis investigates the finite wordlength effects in one-dimensional discrete-time wavelet transform (DTWT). A MATLAB DTWT model is written based on an efficient algorithm suggested by the Multiresolution Analysis (MRA). This model allows users to investigate the overall non-ideal effects of a MRA-based DTWT system by specifying round-off method for computation, the number of quantization bits employed in representing filter coefficient and internal computational results. Further, the possibility of discarding the high frequency portion of a signal in DTWT signal reconstruction phase (Sel

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21

Chan, Kenny. "Finite wordlength effects in discrete time wavelet transform." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq36674.pdf.

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22

Yilmaz, Sener. "Generalized Area Tracking Using Complex Discrete Wavelet Transform: The Complex Wavelet Tracker." Phd thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/3/12608643/index.pdf.

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In this work, a new method is proposed that can be used for area tracking. This method is based on the Complex Discrete Wavelet Transform (CDWT) developed by Magarey and Kingsbury. The CDWT has its advantages over the traditional Discrete Wavelet Transform such as approximate shift invariance, improved directional selectivity, and robustness to noise and illumination changes. The proposed method is a generalization of the CDWT based motion estimation method developed by Magarey and Kingsbury. The Complex Wavelet Tracker extends the original method to estimate the true motion of regions accord

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23

Huluta, Emanuil. "Discrete wavelet transform architecture for image coding and decoding." Thesis, University of Ottawa (Canada), 2003. http://hdl.handle.net/10393/26491.

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This thesis analyses and implements a Discrete Wavelet Transform (DWT) architecture for image processing. The architecture comprises two modules, one for image coding and the other for image decoding. Each module is implemented using a novel Modified Forward-Backward Register Allocation (MFBRA) method and accommodates two Fast Processing Elements (FPE). The resulting architecture minimizes the hardware required to perform the task together with reduced processing time, rendering the whole structure suitable for real time applications. The whole architecture is implemented and simulated usin

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24

Collins, John Patrick. "Boundary effects from quantizing images with the discrete wavelet transform." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0006/MQ43153.pdf.

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25

McCanny, P. "Generic silicon architectures for the two-dimensional discrete wavelet transform." Thesis, Queen's University Belfast, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.403167.

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26

Ibraheem, Mohammed Shaaban. "Logarithmic Discrete Wavelet Transform For High Quality Medical Image Compression." Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066067/document.

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De nos jours, la compression de l'image médicale est un processus essentiel dans les systèmes de cybersanté. Compresser des images médicales de haute qualité est une exigence vitale pour éviter de mal diagnostiquer les examens médicaux par les radiologues. WAAVES est un algorithme de compression d'images médicales prometteur basé sur la transformée en ondelettes discrètes (DWT) qui permet d'obtenir une performance de compression élevée par rapport à l'état de la technique. Les principaux objectifs de ce travail sont d'améliorer la qualité d'image lors de la compression à l'aide de WAAVES et de

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Ibraheem, Mohammed Shaaban. "Logarithmic Discrete Wavelet Transform For High Quality Medical Image Compression." Electronic Thesis or Diss., Paris 6, 2017. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2017PA066067.pdf.

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De nos jours, la compression de l'image médicale est un processus essentiel dans les systèmes de cybersanté. Compresser des images médicales de haute qualité est une exigence vitale pour éviter de mal diagnostiquer les examens médicaux par les radiologues. WAAVES est un algorithme de compression d'images médicales prometteur basé sur la transformée en ondelettes discrètes (DWT) qui permet d'obtenir une performance de compression élevée par rapport à l'état de la technique. Les principaux objectifs de ce travail sont d'améliorer la qualité d'image lors de la compression à l'aide de WAAVES et de

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Chang, Jin. "SINGLE ENDED TRAVELING WAVE BASED FAULT LOCATION USING DISCRETE WAVELET TRANSFORM." UKnowledge, 2014. http://uknowledge.uky.edu/ece_etds/58.

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In power transmission systems, locating faults is an essential technology. When a fault occurs on a transmission line, it will affect the whole power system. To find the fault location accurately and promptly is required to ensure the power supply. In this paper, the study of traveling wave theory, fault location method, Karrenbauer transform, and Wavelet transform is presented. This thesis focuses on single ended fault location method. The signal processing technique and evaluation study are presented. The MATLAB SimPowerSystem is used to test and simulate fault scenarios for evaluation studi

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Tan, Kay-Chuan Benny. "Low power JPEG2000 5/3 discrete wavelet transform algorithm and architecture." Thesis, University of Edinburgh, 2004. http://hdl.handle.net/1842/14517.

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With the advance in VLSI digital technology, many high throughput and performance imaging and video application had emerged and increased in usage. At the core of these imaging and video applications is the image and video compression technology. Image and video compression processes are by nature very computational and power consuming. Such high power consumption will shorten the operating time of a portable imaging and video device and can also cause overheating. As such, ways of making image and video compression processes inherently low power is needed. The lifting based Discrete Wavelet T

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Anoh, Kelvin O. O., N. T. Ali, Hassan S. O. Migdadi, et al. "Performance comparison of MIMO-DWT and MIMO-FrFT multicarrier systems." 2013. http://hdl.handle.net/10454/9607.

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No<br>In this work, we discuss two new multicarrier modulating kernels that can be adopted for multicarrier signaling. These multicarrier transforms are the fractional Forurier transform (FrFT) and discrete wavelet transforms (DWT). At first, we relate the transforms in terms of mathematical relationships, and then using numerical and simulation comparisons we show their performances in terms of bit error ratio (BER) for Multiple Input Multiple Output (MIMO) applications. Numerical results using BPSK and QPSK support that both can be applied for multicarrier signaling, however, it can be resou

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Asif, Rameez, Tahereh S. Ghazaany, Raed A. Abd-Alhameed, et al. "MIMO discrete wavelet transform for the next generation wireless systems." 2013. http://hdl.handle.net/10454/9617.

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No<br>Study is presented into the performance of Fast Fourier Transform (FFT) and Discrete Wavelet Transform (DWT) and MIMO-DWT with transmit beamforming. Feedback loop has been used between the equalizer at the transmitter to the receiver which provided the channel state information which was then used to construct a steering matrix for the transmission sequence such that the received signals at the transmitter can be combined constructively in order to provide a reliable and improved system for next generation wireless systems. As convolution in time domain equals multiplication in frequency

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32

Mehrotra, Abhishek. "Shape Adaptive Integer Wavelet Transform Based Coding Scheme For 2-D/3-D Brain MR Images." Thesis, 2004. https://etd.iisc.ac.in/handle/2005/1171.

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Mehrotra, Abhishek. "Shape Adaptive Integer Wavelet Transform Based Coding Scheme For 2-D/3-D Brain MR Images." Thesis, 2004. http://etd.iisc.ernet.in/handle/2005/1171.

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34

Huang, Min-yu, and 黃敏煜. "A Discrete Wavelet Transform (DWT) based De-noising Circuit Design with its Applications to Medical Signal Processing." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/57371780328343232025.

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碩士<br>長庚大學<br>電子工程研究所<br>93<br>Wavelet Transform is a multiresolution analysis that decomposes an original signal to multi-octave based functions, and we can analysis the original signal using these functions. It provides a novel and effective tool for many applications in signal processing area. Also, it has the advantage over the traditional Fourier Transform with respect to time-frequency analysis because of its characteristic of multiresolution. Therefore, it has been widely applied into many aspects of signal/image processing-related researches. In this thesis, we proposed and realized a

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Asif, Rameez, Raed A. Abd-Alhameed, and James M. Noras. "A Unique Wavelet-based Multicarrier System with and without MIMO over Multipath Channels with AWGN." 2015. http://hdl.handle.net/10454/7889.

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yes<br>Recent studies suggest that multicarrier systems using wavelets outperform conventional OFDM systems using the FFT, in that they have well-contained side lobes, improved spectral efficiency and BER performance, and they do not require a cyclic prefix. Here we study the wavelet packet and discrete wavelet transforms, comparing the BER performance of wavelet transform-based multicarrier systems and Fourier based OFDM systems, for multipath Rayleigh channels with AWGN. In the proposed system zero-forcing channel estimation in the frequency domain has been used. Results confirm that discret

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Vaidya, Anil Pralhad. "A Model Study For The Application Of Wavelet And Neural Network For Identification And Localization Of Partial Discharges In Transformers." Thesis, 2004. https://etd.iisc.ac.in/handle/2005/1183.

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Vaidya, Anil Pralhad. "A Model Study For The Application Of Wavelet And Neural Network For Identification And Localization Of Partial Discharges In Transformers." Thesis, 2004. http://etd.iisc.ernet.in/handle/2005/1183.

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Alasta, Amro F., Abdulrazag Algamudi, Rami S. R. Qahwaji, Stanley S. Ipson, A. Hauchecorne, and M. Meftah. "New method of Enhancement using Wavelet Transforms applied to SODISM Telescope." 2018. http://hdl.handle.net/10454/16611.

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yes<br>PICARD is a space-based observatory hosting the Solar Diameter Imager and Surface Mapper (SODISM) telescope, which has continuously observed the Sun from July 2010 and up to March 2014. In order to study the fine structure of the solar surface, it is helpful to apply techniques that enhance the images so as to improve the visibility of solar features such as sunspots or faculae. The objective of this work is to develop an innovative technique to enhance the quality of the SODISM images in the five wavelengths monitored by the telescope at 215.0 nm, 393.37 nm, 535.7 nm, 607.1 nm and

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Gupta, Pradeep Kumar. "Denoising And Inpainting Of Images : A Transform Domain Based Approach." Thesis, 2007. https://etd.iisc.ac.in/handle/2005/515.

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Many scientific data sets are contaminated by noise, either because of data acquisition process, or because of naturally occurring phenomena. A first step in analyzing such data sets is denoising, i.e., removing additive noise from a noisy image. For images, noise suppression is a delicate and a difficult task. A trade of between noise reduction and the preservation of actual image features has to be made in a way that enhances the relevant image content. The beginning chapter in this thesis is introductory in nature and discusses the Popular denoising techniques in spatial and frequency do

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Gupta, Pradeep Kumar. "Denoising And Inpainting Of Images : A Transform Domain Based Approach." Thesis, 2007. http://hdl.handle.net/2005/515.

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Many scientific data sets are contaminated by noise, either because of data acquisition process, or because of naturally occurring phenomena. A first step in analyzing such data sets is denoising, i.e., removing additive noise from a noisy image. For images, noise suppression is a delicate and a difficult task. A trade of between noise reduction and the preservation of actual image features has to be made in a way that enhances the relevant image content. The beginning chapter in this thesis is introductory in nature and discusses the Popular denoising techniques in spatial and frequency dom

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Lanka, Karthikeyan. "Predictability of Nonstationary Time Series using Wavelet and Empirical Mode Decomposition Based ARMA Models." Thesis, 2013. http://etd.iisc.ac.in/handle/2005/3363.

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The idea of time series forecasting techniques is that the past has certain information about future. So, the question of how the information is encoded in the past can be interpreted and later used to extrapolate events of future constitute the crux of time series analysis and forecasting. Several methods such as qualitative techniques (e.g., Delphi method), causal techniques (e.g., least squares regression), quantitative techniques (e.g., smoothing method, time series models) have been developed in the past in which the concept lies in establishing a model either theoretically or mathematica

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Lanka, Karthikeyan. "Predictability of Nonstationary Time Series using Wavelet and Empirical Mode Decomposition Based ARMA Models." Thesis, 2013. http://etd.iisc.ernet.in/2005/3363.

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The idea of time series forecasting techniques is that the past has certain information about future. So, the question of how the information is encoded in the past can be interpreted and later used to extrapolate events of future constitute the crux of time series analysis and forecasting. Several methods such as qualitative techniques (e.g., Delphi method), causal techniques (e.g., least squares regression), quantitative techniques (e.g., smoothing method, time series models) have been developed in the past in which the concept lies in establishing a model either theoretically or mathematica

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43

Yang, Min-Ta, and 楊明達. "The VLSI Design of Discrete Wavelet Transform and Inverse Discrete Wavelet Transform for JPEG2000." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/93707017269338386899.

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碩士<br>國立交通大學<br>電機與控制工程系<br>91<br>The discrete wavelet transform (DWT) technique has been widely used in signal processing and image processing. Since the DWT coefficients have the property of energy conservation in the low frequency part, it is suitable for data compression. In the recent industry standard, DWT has replaced DCT which is a main approach in image compression in JPEG2000 and MPEG4. Due to the drawback, the thesis focuses on the hardware architectures of 1-layer 1- dimensional DWT, multi-layer 1-dimensional DWT and Multi-layer 2-dimensional DWT which are the standard o

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Das, Swastik, and Rasmi Ranjan Sethy. "Image Compression using Discrete Cosine Transform & Discrete Wavelet Transform." Thesis, 2009. http://ethesis.nitrkl.ac.in/1119/1/Image_Compression_using_DCT_%26_DWT.pdf.

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Image Compression addresses the problem of reducing the amount of data required to represent the digital image. Compression is achieved by the removal of one or more of three basic data redundancies: (1) Coding redundancy, which is present when less than optimal (i.e. the smallest length) code words are used; (2) Interpixel redundancy, which results from correlations between the pixels of an image & (3) psycho visual redundancy which is due to data that is ignored by the human visual system (i.e. visually nonessential information). Huffman codes contain the smallest possible number of code s

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Bhawna, Gauatm. "Image compression using discrete cosine transform and discrete wavelet transform." Thesis, 2010. http://ethesis.nitrkl.ac.in/1731/1/project.pdf.

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It is used specially for the compression of images where tolerable degradation is required. With the wide use of computers and consequently need for large scale storage and transmission of data, efficient ways of storing of data have become necessary. With the growth of technology and entrance into the Digital Age ,the world has found itself amid a vast amount of information. Dealing with such enormous information can often present difficulties. Image compression is minimizing the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level. The reductio

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Wang, Jyh-Wei, and 王志雄. "The VLSI Design for Discrete Wavelet Transform and Inverse Discrete Wavelet Transform using Embedded Instruction Codes." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/06910225125080712632.

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碩士<br>國立交通大學<br>電機與控制工程系<br>89<br>The discrete wavelet transform (DWT) technique has been widely used in signal processing and image processing. Since the DWT coefficients have the property of energy conservation in the low frequency part, it is suitable for data compression. In the recent industry standard, DWT has replaced DCT which is a main approach in image compression in JPEG2000 and MPEG4. However, there are difficulties in implementation such as the heavy computation and complex operation procedures. Due to the drawback, the thesis purposes a design rule named “Embedded Inst

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Shen, Nu-Chuan, and 沈汝川. "Sectioned Convoluion for Discrete Wavelet Transform." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/79034618082699960740.

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碩士<br>國立臺灣大學<br>電信工程學研究所<br>96<br>Discrete wavelet transform (DWT) is a very popular mathematical tool. It has been widely applied in engineering, signal processing and image processing, etc. In this thesis, we will introduce the DWT and the application of it and then I will use a method called sectioned convolution that proposed in this thesis to reduce the complexity of the DWT. The sectioned convolution is a fast algorithm of convolution by splitting the input of signal into section by section with sectioned length L, so we do not have to do the convolution until all the signal is received

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Chiang, Tung-Hsien. "Discrete Wavelet Transform Based Speaker Recognition." 2007. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0020-2607200713324300.

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Shen, Nu-Chuan. "Sectioned Convoluion for Discrete Wavelet Transform." 2008. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-0907200818092200.

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Chiang, Tung-Hsien, and 江宗憲. "Discrete Wavelet Transform Based Speaker Recognition." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/08131235953743495256.

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碩士<br>國立暨南國際大學<br>電機工程學系<br>95<br>This thesis was proposed under the basis of the wavelet transform of speaker recognition system. In recent years, the relevant research for speaker feature that we usually adopted Mel-frequency cepstral coefficients (MFCC). However, the background of noise may affect the recognition of speakers in real life, such as the voice of movement, engine running, speed change, braking, percussion, and so on. This thesis will introduce the technology of wavelet transform. By the way of wavelet transform, we will disassemble the frame through classified frequency. Beside

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