DISCRETE FOURIER TRANSFORM IMAGE PROCESSING MATLAB

EURASIP Journal on Applied Signal Processing 2004:4, 495–502c 2004 Hindawi Publishing CorporationRidge Distance Estimation in Fingerprint Images:Algorithm and Performance EvaluationYilong YinCollege of Computer Science & Technology, Shandong University, Shanda South Road 27, Jinan 25[r]

Compression, Ph.D Thesis, Mathematics and Computer Science (CWI), Amsterdam, (2003). [5]. Laure J.Chipman and Timothy, Wavelet and Image Fusion, Proceedings of international conference on image processing, pp. 248–251, (1995). [6]. William F. Herrington, Jr BerthoId K.P. Horn, a[r]

pixels from the adjacent blocks to produce the transform co-efficients of the current block. However, global informationhas not been taken to its full advantage in most cases, thequantization and the entropy coding of the transform coeffi-cients are still done independently from block to b[r]

low bit-rate applications to achieve a superior compressionperformance. The applicability of WDCT is enlarged into thelow bit-rate range and the performance of downsampling-based block coding is enhanced by using WDCT in conjunc-tion with image downsampling.2. WDCT-BASED LOW BIT-RATE BLOCK CO[r]

embed information, imperceptibly [11]. Even though DWTis popular, powerful, and familiar among watermarkingtechniques, it has its own limitations in capturing thedirectional information such as smooth contours and thedirectional edges of the image. This problem is addressed bycontourlet tr[r]

ˆE(s )(see(17)).The estimations of the phase distort ions obtained by thisprocess are approximate. However, the search is performedin a 1-dimensional space and can be very fast. The results ofthe reconstruction are shown in Section 6.Figure 1 shows the diagram of the algorithm (24)and(25) for findin[r]

RAG-n. The DFT hardware effort in an implementation viaRAG-n CZT has only O(N)effort (i.e., not quadratic O(N2)as for the direct DFT method) and provides a DFT with veryshort latency, which is attractive when the DFT is used as acoprocessor. For a 64-point RAG-CZT, 92% of the resourcesare used for the[r]

has to taken at or above twice the rateof interest (also known as the Nyquistrate), otherwise ambiguous results maybe obtained.Fast Fourier TransformsOne problem with this type of processing is the large number of additions, subtractions, and multiplications whichare required to recons[r]

article entitled “Telescopic vector composition and polaraccumulated motion residuals for feature extraction inArabic sign language recognition” written by T. J. Shanablehand K. Assaleh introduces two novel approaches for featureextraction applied to video-based Arabic sig n languagerecognition, nam[r]

EURASIP Journal on Applied Signal Processing 2004:12, 1912–1920c 2004 Hindawi Publishing CorporationAlgorithms for Hardware-Based Pattern RecognitionVolker LohwegKoenig & Bauer AG (KBA), Bielefeld, Westring 31, 33818 Leopoldsh¨ohe, GermanyEmail: vlohweg@kba-bielefeld.deCarsten Dieder[r]

distortion detection makes sense and is easier, since the waythe soundtracks are read (integration over a line) minimizesthe incidence of dust.On the contrary, using image-based correction seems tobe mandatory. The simple correction scheme used for theproof of concept (adjusting the luminance[r]

rate speech coder (AMR) specifies two options for VAD to beused in DTX (discontinuous t ransmission) mode. For appli-cations like mobile phones and packet networks, discontinu-oustransmission(DTX)modeisusuallyrequiredforlowerbit-rate transmission speech coder. In AMR Option 1, theinput signal is divi[r]

532Chapter 12. Fast Fourier TransformSample page from NUMERICAL RECIPES IN C: THE ART OF SCIENTIFIC COMPUTING (ISBN 0-521-43108-5)Copyright (C) 1988-1992 by Cambridge University Press.Programs Copyright (C) 1988-1992 by Numerical Recipes Software. Permission is granted for internet users to[r]

The first program fragment FFTs a two-dimensional data array, allows for some530Chapter 12. Fast Fourier TransformSample page from NUMERICAL RECIPES IN C: THE ART OF SCIENTIFIC COMPUTING (ISBN 0-521-43108-5)Copyright (C) 1988-1992 by Cambridge University Press.Programs Copyright (C) 1988-1992[r]

Nussbaumer, H.J. 1982,Fast Fourier Transform and Convolution Algorithms(New York: Springer-Verlag).12.5 Fourier Transforms of Real Data in Twoand Three DimensionsTwo-dimensional FFTs are particularly important in the field of image process-ing. An image is usually r[r]

domain. While elegant in principle, this procedure does not in practice save muchcomputation time, since the bit reversals represent only a small fraction of an FFT’soperations count, and since most useful operations in the frequency domain requirea knowledge of which points correspond to which freq[r]

sets the default rectangular graphic frame to a square.The command plot(x,y)assumes that the x and y axes are divided into equallyspaced intervals; these plots are called linear plots. The MATLAB commands can alsogenerate a logarithmic scale (base 10) using the following commands:456 APPENDIX[r]

Hindawi Publishing CorporationEURASIP Journal on Advances in Signal ProcessingVolume 2010, Article ID 191085, 7 pagesdoi:10.1155/2010/191085Research ArticleEigenvectors of the Discrete Fourier Transform Based onthe Bilinear TransformAhmet Serbes and Lutfiye Durak-Ata (EURASIP Mem[r]

• Final projectClass organization• Course assistants:• Class homepage:Intelligent Systems Laboratory(ISLab.)• Vision/image processing• Automation•••PLCMicroprocessors (quadcopter)Crane• Segway• ….• Building C, FEEE, HCMUTEScope

Hindawi Publishing CorporationEURASIP Journal on Advances in Signal ProcessingVolume 2007, Article ID 45321, 17 pagesdoi:10.1155/2007/45321Research ArticleCalculation Scheme Based on a Weighted Primitive:Application to Image Processing TransformsMar´ıa Teresa Signes Pont, Juan Manuel G[r]