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Dissertations / Theses on the topic 'Two Dimensional Discrete Wavelet Transform'

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Published: 5 June 2025

Last updated: 15 July 2025

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1

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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Legaspi, Joey E. "One and two dimensional discrete wavelet transforms." Thesis, Monterey, California. Naval Postgraduate School, 1992. http://hdl.handle.net/10945/23739.

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Benderli, Oguz. "A Real-time, Low-latency, Fpga Implementation Of The Two Dimensional Discrete Wavelet Transform." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1056282/index.pdf.

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This thesis presents an architecture and an FPGA implementation of the two dimensional discrete wavelet transformation (DWT) for applications where row-based raw image data is streamed in at high bandwidths and local buffering of the entire image is not feasible. The architecture is especially suited for multi-spectral imager systems, such as on board an imaging satellite, however can be used in any application where time to next image constraints require real-time processing of multiple images. The latency that is introduced as the images stream through the iii DWT module and the amount of lo

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Talavašek, Kamil. "Srovnání implementací diskrétní waveletové transformace v Javě a C/C++." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217186.

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This thesis deals with discrete wavelet transform of a two dimensional discrete signal using the CDF9/7 wavelet. It contains theoretical principles of discrete wavelet transformation, a description of the convolution and Lifting calculation principle, characteristics of the CDF9/7 wavelet, the possibilities of processing a two dimensional input signal and boundary handling. Both principles (convolution, Lifting) of the calculation of two dimensional discrete wavelet transformation have been implemented within the thesis using the CDF9/7 wavelet in the C++ and Java programming languages. Four a

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Cook, James Allen. "A decompositional investigation of 3D face recognition." Thesis, Queensland University of Technology, 2007. https://eprints.qut.edu.au/16653/1/James_Allen_Cook_Thesis.pdf.

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Automated Face Recognition is the process of determining a subject's identity from digital imagery of their face without user intervention. The term in fact encompasses two distinct tasks; Face Verficiation is the process of verifying a subject's claimed identity while Face Identification involves selecting the most likely identity from a database of subjects. This dissertation focuses on the task of Face Verification, which has a myriad of applications in security ranging from border control to personal banking. Recently the use of 3D facial imagery has found favour in the research community

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Cook, James Allen. "A decompositional investigation of 3D face recognition." Queensland University of Technology, 2007. http://eprints.qut.edu.au/16653/.

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Automated Face Recognition is the process of determining a subject's identity from digital imagery of their face without user intervention. The term in fact encompasses two distinct tasks; Face Verficiation is the process of verifying a subject's claimed identity while Face Identification involves selecting the most likely identity from a database of subjects. This dissertation focuses on the task of Face Verification, which has a myriad of applications in security ranging from border control to personal banking. Recently the use of 3D facial imagery has found favour in the research community

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Andhavarapu, Sarat Kiran. "Image Blur Detection with Two-Dimensional Haar Wavelet Transform." DigitalCommons@USU, 2015. https://digitalcommons.usu.edu/etd/4443.

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Efficient detection of image blur and its extent is an open research problem in computer vision. Image blur has a negative impact on image quality. Blur is introduced into images due to various factors including limited contrast, improper exposure time or unstable device handling. Toward this end, an algorithm is presented for image blur detection with the use of Two-Dimensional Haar Wavelet transform (2D HWT). The algorithm is experimentally compared with two other image blur detection algorithms frequently cited in the literature. When evaluated over a sample of images, the algorithm perform

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Shah, Rajul R. (Rajul Ramesh) 1979. "Hardware implementation of a low-power two-dimensional discrete cosine transform." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/16859.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.<br>Includes bibliographical references (p. 143-144).<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>In this project, a JPEG compliant, low-power dedicated, two-dimensional, Discrete Cosine Transform (DCT) core meeting all IBM Softcore requirements is developed. Power is optimized completely at the algorithmic, architectural, and logic levels. The architecture uses row-column

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Gu, Siying. "VLSI systolic array architectures for the one-dimensional and two-dimensional discrete Fourier transform." Thesis, University of Ottawa (Canada), 1993. http://hdl.handle.net/10393/6711.

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In this thesis, we propose efficient systolic array architectures for the 1-D and the 2-D discrete Fourier transforms (DFT) using the second-order Goertzel algorithm. For the 1-D DFT, two 1-D and one 2D systolic arrays are proposed. The two 1-D structures, a semi-systolic array and a pure-systolic array, are characterized by regular, modular cell interconnections, thus making the arrays compatible with VLSI design principles. These arrays perform at an effective throughput rate of one DFT sample per clock cycle. The proposed 2-D array structure obtains a higher throughput rate of one DFT trans

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Srinivasan, Nirmala. "Cross-Correlation Of Biomedical Images Using Two Dimensional Discrete Hermite Functions." University of Akron / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=akron1341866987.

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11

Semwogerere, Denis. "The use of the two dimensional continuous wavelet transform for classification of targets in flir imagery." DigitalCommons@Robert W. Woodruff Library, Atlanta University Center, 1998. http://digitalcommons.auctr.edu/dissertations/1888.

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Two dimensional continuous wavelet transforms have been used to study a wide variety of physical problems especially in the analysis of images. They are used in this particular application for the detection of discontinuities, which include edges, filaments, contours and boundaries between areas of different luminosity. In this study we investigate the use of a continuous wavelet transform partial energy density as a features detector in developing an algorithm for classification of targets in forward looking infrared imagery. Our algorithm specifically uses features that result from computing

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12

Kirioukhine, Guennadi. "Implementation of two-dimensional discrete cosine transform in xilinx field programmable gate array using flow-graph and distributed arithmetic techniques." Ohio : Ohio University, 2002. http://www.ohiolink.edu/etd/view.cgi?ohiou1174679848.

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13

McCool, Christopher Steven. "Hybrid 2D and 3D face verification." Thesis, Queensland University of Technology, 2007. https://eprints.qut.edu.au/16436/1/Christopher_McCool_Thesis.pdf.

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Face verification is a challenging pattern recognition problem. The face is a biometric that, we as humans, know can be recognised. However, the face is highly deformable and its appearance alters significantly when the pose, illumination or expression changes. These changes in appearance are most notable for texture images, or two-dimensional (2D) data. But the underlying structure of the face, or three dimensional (3D) data, is not changed by pose or illumination variations. Over the past five years methods have been investigated to combine 2D and 3D face data to improve the acc

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McCool, Christopher Steven. "Hybrid 2D and 3D face verification." Queensland University of Technology, 2007. http://eprints.qut.edu.au/16436/.

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Face verification is a challenging pattern recognition problem. The face is a biometric that, we as humans, know can be recognised. However, the face is highly deformable and its appearance alters significantly when the pose, illumination or expression changes. These changes in appearance are most notable for texture images, or two-dimensional (2D) data. But the underlying structure of the face, or three dimensional (3D) data, is not changed by pose or illumination variations. Over the past five years methods have been investigated to combine 2D and 3D face data to improve the accuracy an

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Kei, Sung Kuo, and 宋國偉. "A High Efficient Two-Dimensional Discrete Wavelet Transform Architecture Design." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/01862832061378622752.

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碩士<br>中華科技大學<br>電子工程研究所在職專班<br>101<br>The discrete wavelet transform (DWT) plays an important role in signal analysis and data compression due to its ability of achieving signal processing goals and dividing signals into low- and high-frequency subbands. A convolution-based traditional DWT architecture takes extra many large computations, which is not suitable for practical applications. On the other hand, Sweldens proposed a lifting-based DWT with the advantages of high computation efficiency and memory savings, which fits the need of multimedia processing in practice. Since then, many types

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WANG, JHIH-SHENG, and 王志盛. "The Circuit Design of Two-Dimensional Discrete Wavelet Transform with Low Power." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/37120607896800252452.

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Feng, Sung-Jiu, and 馮松鉅. "A High-Performance VLSI Design for Two-Dimensional Lifting-based Discrete Wavelet Transform." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/95301372987275672045.

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碩士<br>國立東華大學<br>資訊工程學系<br>94<br>ISO proposed JPEG2000 for the lossless compression standard. The major difference between JPEG and JPEG2000 is transform coding. JPEG2000 uses discrete wavelet transform (DWT) to solve discrete cosine transform (DCT) disadvantages (blocking artifact). DWT provides a new method that transforms time domain to frequency domain for signal processing. Furthermore, it assigns the frequency domains to subbands. DWT needs the temporary storage to store the subbands. Thus, we need a large store space. Furthermore, DWT spends more computing time than DCT. Thus, we use har

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林誠偉. "New Folded Architecture for Two-Dimensional Discrete Wavelet Transform and its Chip Implementation." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/18753634150956377901.

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碩士<br>長庚大學<br>電機工程研究所<br>90<br>Wavelet transform is a very useful tool for several applications, including signal coding, signal analysis, and image compression. In this paper, we propose two new folded architectures and two scheduling algorithms for computing 2-D discrete wavelet transform (DWT). The first new architecture includes three decimation filters and two storage units. The filters that we use are the polyphase decomposition technique in the Filter 1, and the coefficient folding technique in the Filter2, Filter 3. The two storage units are used to store the intermediate outputs that

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Chiu, Ling-Yuan, and 邱鈴媛. "Ground penetrating radar imaging of archaeological targets using two-dimensional discrete wavelet transform with adaptive Wiener filter." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/31886431394117094410.

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Peng, Wen-Shiaw, and 彭文孝. "An Efficient Algorithm and Architecture Design For Two- Dimension Separable Discrete Wavelet Transform." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/29457670319093342861.

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碩士<br>國立交通大學<br>電子工程系<br>87<br>In recent years, the Discrete Wavelet Transform (DWT) has become a powerful tool in many areas, such as image compression and analysis, texture discrimination, fractal analysis, pattern recognition and so on. Due to the localization property both in time and frequency domain, wavelet transform is more efficient than Short Time Fourier Transform (STFT) or Discrete Cosine Transform (DCT) in de-correlating the time domain signal correlation. Also, it has been proved that the wavelet based image compression scheme has better performance than that with DCT based espec

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Ke, Chih-hung, and 柯志宏. "Damage Detection of a Rectangular Plate with Stiffeners by Two-Dimensional Discrete Wavelet Transforms." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/25671385410363043093.

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碩士<br>國立成功大學<br>造船及船舶機械工程學系碩博士班<br>95<br>The main purpose of this study is to detect the multiple cracks of an aluminum plate with stiffeners by wavelet transforms. The wavelet packet node norm is utilized to construct the first mode shape of the plate and then detect the damage locations based on the two dimensional discrete wavelet transforms. In numerical analysis, the first mode shape of the damage plate is simulated by finite element tool ANSYS and the damage locations of the plate are detected by two-dimensional discrete wavelet analysis. In experimental analysis, several accelerometers

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Zhi-ShiangLu and 盧智祥. "Damage Detection in Stiffened Plates with Multiple Cracks by Artificial Neural Network Method and Two-Dimensional Discrete Wavelet Transform." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/50420876316219653586.

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碩士<br>國立成功大學<br>系統及船舶機電工程學系碩博士班<br>99<br>During recent decades, there has been an increase in the number of researchers who have devoted themselves to artificial neural networks. This method has many useful characteristics that appeal to such researchers, including adaptation learning capability, fault-tolerant capability, and the ability to use practice examples to build a neural networks system. The method can process complex information and establish the correspondence between input and output relationships by learning and revision. Therefore, the neural networks have been widely used in va

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Liu, Cheng Chung, and 劉政忠. "The Design of High-speed, Two-Dimensional, Multi-level Discrete Wavelet Transform as a Silicon Intelligent Property in Embedded Systems." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/76674633897879588668.

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碩士<br>中華技術學院<br>電子工程研究所在職專班<br>97<br>In this paper, we propose a high-speed VLSI architecture for implementation of the forward two-dimensional multi-stage ,lift-based discrete wavelet transform (DWT) . We expend one-dimensional discrete wavelet transform to two-dimensional discrete wavelet transform, and replace them by traditional rows-and-columns method. The structure designed on central and nearby pixels connection basically. As for one N*N image, the calculate time of traditional row-and-column DWT design on two-dimensional multi-stage requires N2. On the other hand, the architecture we p

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Yi-HaoYen and 顏奕豪. "Damage Detection of a Plate with Multiple Cracks by two-Dimensional Discrete Wavelet Transforms and Artificial Neural Network." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/31882378961747647614.

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碩士<br>國立成功大學<br>系統及船舶機電工程學系碩博士班<br>101<br>Structural damage has been a very important issue in engineering. If damage can be detected in a timely manner, many disasters can be prevented. In recent years, wavelet transform methods have been widely used in various domains, such as image compression, noise removal, edge detection, communication, etc.This study will use the two-dimensional discrete wavelet transform method to detect the position of cracks in plate. Running data through the artificial neural network allows for large computations to be calculated at rapid speeds, and relationships b

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Zhe-MingZhang and 張哲銘. "A Study of Damage Detection in A Plate with Multiple Cracks byArtificial Neural Network Method and Two-Dimensional Discrete Wavelet Transforms." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/13553848033386660377.

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碩士<br>國立成功大學<br>系統及船舶機電工程學系碩博士班<br>98<br>In this digital generation, in order to analyze a large amount of data during a short period of time, researchers have devised various kinds of tools and methods to increase and maximize the speed of calculation. Neural networks are one of the many popular examples for this purpose. They are used in many research fields and industries as neural networks can process a lot of complex information efficiently and quickly. Another function of neural networks is to establish the correspondence between nonlinear input-output relationships and compute optimal s

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Tsai, Hsing-Juan, and 蔡幸娟. "A Parameterizable Architecture for Two-Dimensional Discrete Cosine Transform and Inverse Discrete Cosine Transform." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/66341916946119230484.

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碩士<br>逢甲大學<br>資訊工程所<br>93<br>The Discrete Cosine Transform (DCT) and Inverse Discrete Cosine Transforms (IDCT) are widely used in various audio and image processing applications. Because of the computation complexity of these algorithms, the dedicated hardware is usually required to achieve the performance of real-time applications. This thesis presents an efficient implementation of a two-dimensional DCT/IDCT processor using a serial-parallel systolic array architecture. The data transfer between processing elements is propagated serially in order to reduce the data communication cost. The

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SU, TING-YI, and 蘇庭億. "Three Dimensional Image Fusion based on Discrete Wavelet Transform Focus Measure." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/61150706312855192667.

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碩士<br>朝陽科技大學<br>資訊管理系<br>104<br>This research is based on focus measurement using discrete wavelet decomposition. We select the best focus length among those images which with same view but fixed difference focus length. After all the pixel in the view have found the best focus image number. We can calculate the height of that pixel. Therefore we can fuse these two dimensional images into three dimensional model. In the experiments, we compare DWTFM to SMLFM and prove that our method with DWTFM is much better with SMLFM.

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Tsai, Ming-Yen, and 蔡明諺. "An Architecture of 2-Dimensional Multi-level Lifting-based Discrete Wavelet Transform." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/45919849438089819531.

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碩士<br>南台科技大學<br>電子工程系<br>94<br>Discrete wavelet transform (DWT) is an algorithm with multi-resolution that can decompose data or signal into several components in different octave bands. In the image compression (eg. JPEG-2000 or MPEG-4), DWT can be apply on the low bit-rate compression because of its low distortion. Traditionally, DWT has been implemented by filters which require a large size of storage and complex computations. In 1996, the lifting scheme [2], a new method for constructing biorthogonal wavelet was proposed for DWT. Since the lifting scheme has several advantages, such as les

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Wu, Chung-Cheng, and 吳忠政. "An Architecture of 2-Dimensional 3-Level Lifting-Based Discrete Wavelet Transform." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/98120684249535071707.

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碩士<br>南台科技大學<br>電子工程系<br>90<br>The discrete wavelet transform(DWT) is useful in many different fields, including signal analysis, signal compression, pattern recognition, and numerical analysis, especially in image/video compression. The DWT decomposes signals into different frequency bands, and performs a multiresolution analysis. Because the traditional DWT is composed of filters, the VLSI implementation complexity is very high. In 1996, lifting-based DWT is proposed. The advantages of the lifting-based DWT are lower implementation complexity and less hardware resources. The lifti

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Li, Quanrong. "Design and performance estimation of two-dimensional discrete cosine transform." Thesis, 1996. http://hdl.handle.net/1957/34695.

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A VLSI system for image compression based on two dimensional discrete cosine transform (2-D DCT) is designed and its performance is estimated. The focus is mainly on the reduction of power consumption and a reasonable speed. A 2-D DCT algorithm called row-column decomposition is chosen for the VLSI design of the system. Then a modified power saving architecture is proposed based on the property and purpose of image compression. Several methods, including the use of low power library cells and low voltage (Vdd=1.5v), are used to achieve the goal of power reduction. Techniques that reduces power

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Chen, Ying-Chih, and 陳盈誌. "VLSI Design of High-Speed Two-Dimensional Discrete Cosine Transform." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/46587879360081973445.

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碩士<br>國立成功大學<br>資訊工程學系碩博士班<br>96<br>A VLSI design achieving high speed two-dimensional discrete cosine transform is proposed. In this work, all the one-dimensional (1-D) DCT required in a 2-D transform are combined into a 2-D DCT module in the proposed architecture. In other words, the 2-D DCT hardware module proposed computes the transform of a two dimension block directly. At first, each coefficient of a single 2-D DCT is composed of the calculation expended by all the 1-D DCTs in row and column directions. After that, all the 2-D coefficients in DCT domain are decomposed into two’s compleme

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Yen, Ye-Chen, and 顏以誠. "FPGA IMPLEMENTATION OF ASYNCHRONOUS TWO-DIMENSIONAL DISCRETE COSINE TRANSFORM PROCESSOR." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/19797435812837702911.

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碩士<br>大同大學<br>電機工程學系(所)<br>94<br>This thesis proposes an asynchronous discrete cosine transform/inverse discrete cosine transform (DCT/IDCT) processor core compliant with the CCITT recommendation H.261. We use the Sutherland Micropipeline structure to implement an asynchronous pipeline. It makes the data transmit forward by handshake protocol. And we adopt row-column decomposition to separate two-dimensional DCT /IDCT into two one-dimensional DCT/IDCT and a transpose memory. In order to reduce area and cost, we introduce the distributed arithmetic (DA) to take the place of multiplier.

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Wang, Jang-Der, and 王振德. "A high efficient two-dimensional discrete transform algorithm and implementation." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/41210504120618820332.

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碩士<br>國立成功大學<br>電機工程研究所<br>82<br>In order to get better compression performances, two- dimensional discrete cosine transform(2-D DCT) is required to compress video data. But it still requires high throughput in the practical video applications. In the thesis, we will propose a new 2-D DCT algorithm which is based on the symmetry of the computational kernel function. With the symmetrical properties of DCT kernel function. We can divide data sequence into four independent modules to compute t

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Lu, Miin Nan, and 盧敏男. "VLSI Implementation of Real-Time Two-Dimensional Discrete Cosine Transform." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/49432396453252051189.

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碩士<br>淡江大學<br>電機工程學系<br>84<br>The discrete cosine transform is a fundamental processing technology for dig-ital data compression systems . The goal of this thesis is to design and imp-lement a two-dimensional 8X8 discrete cosine transform chip for real-time app-lications . Due to the complex computing requirement for a real-time two-dime- nsional discrete cosine transform , it is necessary and urgent to design a low-cost and high-speed chip to perform the real- time transform operation. Re

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Tsai, Chin-Feng, and 蔡金豐. "A Reversible Round-Off One-Dimensional Discrete Periodized Wavelet Transform For Biomedical Information Analysis." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/83780662217050378146.

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博士<br>國立高雄第一科技大學<br>工程科技研究所<br>97<br>Word-length-growth (WLG) effect is an inherent property existing in traditional discrete wavelet transform (DWT). This dissertation aims to explore the influences of the WLG effect in DWT-based applications. Two applications of medical signal processing are selected for this consideration. For Electrocardiogram (ECG) data compression, it was found that WLG effect will induce a convex distortion curve. This property is unfavorable for the desire of quality control in ECG data compression. For breast cancer classification on ultrasound (US) image, it was foun

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yanglin-Chen and 陳央霖. "The VLSI Design of One-dimensional， Multi-level Discrete Wavelet Transform with Adaptive Decomposition." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/49562538452740887281.

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碩士<br>中華技術學院<br>電子工程研究所在職專班<br>97<br>In recent years, mixed-mode chip has become more and more popular due to the increasing market demand in communication and multimedia applications. Future System-on-chip (SOC) will be based on a large-scale mixed-signal system, which will account for a significant proportion of the market share; and most mixed-signal chip is built on deep sub-micron ultra-large-scale digital CMOS chip. In the near future, ASICs will use up to 15 million logic gates, and only a small number of analog circuits that can not be digitized will be left outside the chip, such as R

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Lo, Yung-Hsiang, and 羅永祥. "A Study on the Implementation of Two-Dimensional Discrete Cosine Transform." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/61894142625246441567.

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碩士<br>國立高雄第一科技大學<br>電腦與通訊工程所<br>90<br>ABSTRACT Several digital image and video applications are becoming more popular in our everyday lives. The discrete cosine transform (DCT) is at present the most widely used transformation in the image and video compression algorithm. Image and video encoder/decoder (codec) require huge amounts of computation since the DCT and the inverse DCT (IDCT) are two of the components that are very computationally intensive in video encoder. In this thesis, we propose the multiplier-less distributed arithmetic (DA) architecture with the modified ROM-Accumulator (RAC

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Joseph, Smitha. "Implementation of the two dimensional integer wavelet transform for transmission of images." 2004. http://www.lib.ncsu.edu/theses/available/etd-10262004-161831/unrestricted/etd.pdf.

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Chi, Wei-Lung, and 紀偉龍. "Inspecting Visual Defects of Wafer Die by Using Two-Dimensional Wavelet Transform." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/547hnw.

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碩士<br>國立臺北科技大學<br>工業工程與管理系所<br>93<br>This paper develops an automatic optical inspection (AOI) system to inspect the visual defects such as particle, contamination, and scratch and dot on wafer die by using two-dimensional wavelet transform (2-D WT) and machine vision. The potential pixels for visual defects and dot can be precisely captured by the wavelet transform modulus sum (WTMS) and across-level ratio (α) on adjacent decomposition levels. Once the potential pixels are addressed, best fitting ellipse algorithms are utilized for calculating the geometric features such as the length of majo

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Kuo, Chun-Liang, and 郭俊良. "Analysis and Implementation of Architecture of Discrete Wavelet Transform for Processing Four-Dimensional Light Field." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/82230063041895255550.

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碩士<br>臺灣大學<br>電子工程學研究所<br>98<br>In this thesis, the analysis of 4-D discrete wavelet transform (DWT) architecture is presented. It includes the study of direct 4D, 2-D/2-D, 1-level 4-D and other potential architectures of 4-D DWT. The analysis of access bandwidth of external memories, requirement of internal buffers, latency and hardware costs are also discussed. Among these architectures, 1-level 4-D architecture has the least latency, but demands more hardware costs and internal buffers. Direct 4-D architecture has the least hardware costs and internal buffers, but the latency is higher. The

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WU, HE-DI, and 吳和弟. "The implementation of two-dimensional discrete cosine transform using permuted difference coefficient." Thesis, 1991. http://ndltd.ncl.edu.tw/handle/37127798565911439287.

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Shih-Kuo, Shih, and 施世國. "Fast Algorithms for the Recursive Computation of Two-Dimensional Discrete Cosine Transform." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/15341230838786539253.

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碩士<br>國立臺灣科技大學<br>電子工程技術研究所<br>86<br>This thesis presents an efficient algorithm for computingthe two-dimensional discrete cosine transform (2-D DCT) of size p^r ×p^r, where p is a prime. Based on a generalized 2-D to one-dimensional (1-D) index mapping scheme, the proposedalgorithm decomposes the 2-D DCT outputs into three parts. The first part contains outputs whose indices are both multiples of p and forms a 2-D DCT of size p^{r-1} ×p^{r-1}.The remaining outputs are further decomposed into two parts,depending on the summation of their indices. The latter two parts can be reformulated as a s

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Huang, Ya-fen, and 黃雅芬. "Realization of 2-Dimensional 1-Level Lifting-Based Discrete Wavelet Transform Scheme by using FPGA Chip." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/6q8kmd.

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碩士<br>朝陽科技大學<br>資訊工程系碩士班<br>96<br>In this paper, an efficient architecture is proposed for realization of 2D lifting-based 5/3 filter discrete wavelet transform (DWT). By substituting multipliers, it is a better choice to adopt shifters for the realization of lifting computation with the predictor/update coefficient. Such a shifter approach is able to save the hardware area and computation load. In addition, an extra multiplexer is employed here for the hardware cost reduction. By using shifters and multiplexer, based on the folding scheme, the architecture is proposed for the realization of m

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Chen, Yong Sen, and 陳永森. "The implementation of two-dimensional 4X4 discrete cosine transform using a cordic algorithm." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/32298385597571839884.

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Bai, Bor-Long, and 白柏龍. "A New Efficient Two-Dimensional Inverse Discrete Cosine Transform Algorithm For HDTV Receivers." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/15203471933661857823.

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Liu, Qingfan. "Three-dimensional pavement surface texture measurement and statistical analysis." 2016. http://hdl.handle.net/1993/30996.

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Pavement texture has been measured predominantly by using two-dimensional (2D) profile methods. The 2D profile based mean profile depth (MPD) is still the well accepted texture index which has been found inadequate to characterize pavement texture especially when tire/pavement friction and noise are involved. There is a lack of standard 3D texture indices which show strong correlation with pavement friction and noise. There is a need to use 3D texture measurement for more comprehensive understanding of texture. The objectives of this thesis are to characterize pavement surfaces using 3D

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Lopata, Jan. "Odstraňování artefaktů JPEG komprese obrazových dat." Master's thesis, 2014. http://www.nusl.cz/ntk/nusl-341236.

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This thesis is concerned with the removal of artefacts typical for JPEG im- age compression. First, we describe the mathematical formulation of the JPEG format and the problem of artefact removal. We then formulate the problem as an optimization problem, where the minimized functional is obtained via Bayes' theorem and complex wavelets. We describe proximal operators and algorithms and apply them to the minimization of the given functional. The final algorithm is implemented in MATLAB and tested on several test problems. 1

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