ABSTRACT Three compression algorithms were compared by using contrast -
detail ( CD ) analysis . Two phantoms ... The presence of the skull especially
affected observer performance on the FDCT compressed images . All of the
Author: Venugopal SrinivasanPublish On: 1992-09-02
Comparing with other 2-D DCT algorithms, the word-lengths used in the row-
column Chen's algorithm are smaller to ... Error performance of the row-column
IDCT Chen's algorithm using the number format shown in Figure 3 4. Distortion Analysis When a sequence of full-motion pictures are coded using different
compression algorithms, distortions of various kinds will be introduced in the
Author: Venugopal Srinivasan
Publisher: World Scientific
Written by a physicist with over 15 years of experience as a quant on Wall Street, this book treats a wide variety of topics. Presenting the theory and practice of quantitative finance and risk, it delves into the “how to” and “what it's like” aspects not covered in textbooks or research papers. Both standard and new results are presented. A “Technical Index” indicates the mathematical level — from zero to PhD — for each chapter. The finance in each chapter is self-contained. Real-life comments on “life as a quant” are included.An errata and Additions (3rd Reprint, 2008) to the book is available.
ny Analysis of countermeasures of worm propagations and interactions in wired
and wireless networks . ... To understand the dynamic of worm interactions and
its performance , we mathematically model worm interactions based on ... The
image is partitioned into small blocks ; Fast Discrete Curvelet Transform ( FDCT )
via Unequally - Spaced Fast Fourier ... However , the block - based watermarking algorithm in curvelet domain provides low robustness against geometrical
Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedical engineers in the areas of machine learning, deep learning, data analysis, data management and computer-aided diagnosis (CAD) systems design. The book covers several complex image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Bayesian Networks (BN) and deep learning. Further, numerous data mining techniques are discussed, as they have proven to be good classifiers for medical images. Examines the methodology of classification of medical images that covers the taxonomy of both supervised and unsupervised models, algorithms, applications and challenges Discusses recent advances in Artificial Neural Networks, machine learning, and deep learning in clinical applications Introduces several techniques for medical image processing and analysis for CAD systems design
Algorithm 2 Steg extracting process Input: stego-image, stego-key, message size
g Output: extracted message Calculating 8×8 FDCT, and Quantizing; Selecting g
blocks bi (i=1,2,...,g) by PRNG using stego-key ... Bi (uk , vk ) / n ; k = 2 if Bi (u1, v1
) > aveValuei then md i = 1; else md i = 0; end if end for 4 Experimental Results
and Performance Analysis We have tested our embedding algorithm in Matlab by
Author: De-Shuang Huang
This volume, in conjunction with the two volumes CICS 0002 and LNAI 4682, constitutes the refereed proceedings of the Third International Conference on Intelligent Computing held in Qingdao, China, in August 2007. The 139 full papers published here were carefully reviewed and selected from among 2,875 submissions. Collectively, these papers represent some of the most important findings and insights into the field of intelligent computing.
2 INTRODUCTION For a thorough study of the performance of a FDCT ( Fast
Discrete Cosine Transform ) processor ... and arithmetic roundoff / trunction are
also considered for the direct form and as well as for the fast algorithmic
In addition, including the previous 12th month data in the forecast model, ELM in
the study showed superior forecast ... In addition, additional numerical
approaches and optimization algorithms can be applied to enhance the performance [20–22]. ... The financial support from the Fundo parao
Desenvolvimento das Ciênciase da Tecnologia (FDCT) (grant # FDCT/016/2011/
A) and Research Committee at ...
Author: Fuchen Sun
In recent years, ELM has emerged as a revolutionary technique of computational intelligence, and has attracted considerable attentions. An extreme learning machine (ELM) is a single layer feed-forward neural network alike learning system, whose connections from the input layer to the hidden layer are randomly generated, while the connections from the hidden layer to the output layer are learned through linear learning methods. The outstanding merits of extreme learning machine (ELM) are its fast learning speed, trivial human intervene and high scalability. This book contains some selected papers from the International Conference on Extreme Learning Machine 2013, which was held in Beijing China, October 15-17, 2013. This conference aims to bring together the researchers and practitioners of extreme learning machine from a variety of fields including artificial intelligence, biomedical engineering and bioinformatics, system modelling and control, and signal and image processing, to promote research and discussions of “learning without iterative tuning". This book covers algorithms and applications of ELM. It gives readers a glance of the newest developments of ELM.
It shows the performance analysis of grayscale JPG, PNG and BPG images using
RSA encryption, 2D-FDCT watermarking and DWT ... After using the
watermarking algorithm, the PNG format file size is lesser than MSE and higher
( D203 ] A . Desoky and Y . You , “ Performance Analysis of a Vector Quantization Algorithm of Image Data , ” Proc . ... Y . Yun , " A Uniform Model for Parallel Fast
Fourier Transform ( FFT ) and Fast Discrete Cosine Transform ( FDCT ) , ” Proc .
Author: Belur V. Dasarathy
Publisher: IEEE Computer Society
Category: Technology & Engineering
A comprehensive tutorial on block truncation coding (BTC), a specialized area within the data compression domain, providing a detailed study and relative assessment of its techniques. The focus is on the quality aspects of BTC performance relative to its computational requirements, and flexibility i
The algorithm for the Fast discrete curvelet transform ( FDCT ) can then be
summarized as follows : ( 1 ) Apply the 2D FFT and obtain ... The first generation
curvelet transform ( ) used a com - d a com - plex series of steps involving the
ridgelet analysis of randon transform of an image . The performance was
exceeding slow .
The algorithms were optimized for best performance when compiled for the AVR .
We have used the developed analysis flow for detecting critical basic blocks ,
although manual kernel detection can be ... 3 FDCT 308 , 472 9 , 528 32 . 4 IDCT
35 3.2.6 The Expected Performance of JPEG 36 3.3 The Sequential DCT
Baseline System 36 3.3.1 Before Performing FDCT 36 3.3.2 Quantization 38 ...
Simulation Results and Analysis 48 4.1 The Format of the Test Images 48 4.2
Author: Manyun Zhang
Category: Computer algorithms
Abtract: "A set of still image compression algorithms JPEG (Joint Photographic Experts Group) is becoming an international standard. Here we investigate the algorithms and explore why these algorithms were chosen by JPEG among many other comparable algorithms. We also present our results, observations and analysis on simulating the JPEG sequential baseline system. Based on our simulator, a comparison of Huffman coder, arithmetic coder and LZW algorithm is also included."
For performance acceleration the fast DCT algorithm ( FDCT ) consisting in the
implementation of successive one ... Skipped ( not changed ) macroblocks
selection in P - frame based on the analysis of the differences between the
current and ...
Category: Artificial satellites in telecommunication
In order to enhance the compression algorithm by FDCT , we have compared the
results obtained with wavelet and Ridgelet transforms . ... Comparison of the performance of the non - linear approximation using wavelets and curvelets In
the technical and scientific literature , we ... This mode enables to obtain a multi
scale analysis in sub - bands on the CP1019 , Intelligent Systems and
Automation , 1 ...
11 MATHEMATICS & ANALYSIS 86 - 32702 Implementation of Fast Discrete
Cosine Transform for Full Color Videotex ... Other application areas for FDCT
include image processing , slow scan video , newspaper pictures , and office
documents . ... and the current carrier sense multiple access ( CSMA ) algorithm
are evaluated with the use of a specificallygenerated ... cont paper The use of
asymmetric MPSK signal constellations may achieve better error performance for
trellis codes .
d Design and analysis of a revised grass trimming device K ... Experimental
Setup and Results BayesShrink soft - thresholding algorithm can be implemented
by following procedure : i ) Perform 2D FDCT for noisy image and obtain curvelet
Author: Florida International University. Dept. of Electrical and Computer EngineeringPublish On: 1994-04
DCT. Quantize Format. DCT, Quantize Master Huffman Encoder -J peg • format
data Fig. 2. Parallel for the JPEG algorithm. Rather than perform a parallel
simulation for the entire JPEG algorithm, a paper analysis was performed In order
to get some representative numbers ... The 180486 was chosen to get an overall performance number representative of today's available general purpose
Author: Florida International University. Dept. of Electrical and Computer Engineering
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
It is especially suitable to implement irregular algorithms , such as the fast
discrete cosine transform ( FDCT ) and the three ... The realization of MPEG - 2 is
evaluated , and its performance is also presented . ... Considering the precision
of the transformed data , an accuracy analysis of the architecture has been
carried out to ...