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Tools and Prerequisites for Image Processing
Tools and Prerequisites for Image Processing EE4830 Digital Image Processing http://www.ee.columbia.edu/~xlx/ee4830/ Lecture 1, Jan 26 th , 2009 Part 2 by Lexing Xie -2- Outline Review and intro in MATLAB A light-weight review of linear algebra and probability An introduction to image processing toolbox A few demo applications Image formats in a nutshell Pointers to image processing software and programming packages -3- Matlab is … : a numerical computing environment and programming language. Created by The MathWorks, MATLAB allows easy matrix manipulation, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs in other languages. Main Features: basic data structure is matrix optimized in speed and syntax for matrix computation Accessing Matlab on campus Student Version Matlab + Simulink $99 Image Processing Toolbox $59 Other relevant toolboxes $29~59 (signal processing, statistics, optimization, …) th CUNIX and EE lab (12 floor) has Matlab installed with CU site- license -4- Why MATLAB? Shorter code, faster computation Focus on ideas, not implementation C: #include <math.h> double x, f[500]; for( x=1.; x < 1000; x=x+2) f[(x-1)/2]=2*sin(pow(x,3.))/3+4.56; MATLAB: f=2*sin((1:2:1000).^3)/3+4.56; But: scripting language, interpreted, … … -5- MATLAB basic constructs M-files: functions scripts Language constructs Comment: % if .. else… for… while… end Help: help function_name, helpwin, helpdesk lookfor, demo -6- matrices … are rectangular “tables” of entries where the entries are numbers or abstract quantities … Some build-in matrix constructors a = rand(2), b = ones(2), c=eye(2), Addition and scalar product d = c*2; Dot product, dot-multiply and matrix multiplication c(:)’*a(:), d.*a, d*a Matrix inverse, dot divide, etc. -
In Concert with Teaching Strategies That Have a Solid Theoretical Basis
1 www.onlineeducation.bharatsevaksamaj.net www.bssskillmission.in “Teaching and Learning Technology”. In Section 1 of this course you will cover these topics: Learning And Instruction Computer Applications In Education The Impact Of The Computer On Education Topic : Learning And Instruction Topic Objective: At the end of this topic student would be able to understand: Computer's Role In Instruction Instructional Technology Early Applications The Internet Era Outcomes Research Social Context Gagne's Nine Events of Instruction Definition/Overview: The first topic establishes a framework for looking at the computer's role in instruction and examines its role in student learning. A brief review of behaviorist and constructivist theories of instruction and learning is presented. The intent is to demonstrate that the computer can be a practical tool usedWWW.BSSVE.IN in concert with teaching strategies that have a solid theoretical basis. We recognize that thinking patterns and learning styles vary and that many different cognitive processes and intelligences should be valued. This topic presents a brief overview of types of intelligences, perception and motivation in order to emphasize the importance of analyzing student populations and matching instructional materials to student needs. Recognizing the important role that software plays in instruction and learning, a good deal of discussion takes place on the selection and evaluation of effective software. www.bsscommunitycollege.in www.bssnewgeneration.in www.bsslifeskillscollege.in 2 www.onlineeducation.bharatsevaksamaj.net www.bssskillmission.in Key Points: 1.Computer's Role in Instruction American education has long incorporated technology in K-12 classrooms tape recorders, televisions, calculators, computers, and many others. -
A Method of Content-Based Image Retrieval for the Generation of Image Mosaics
University of Central Florida STARS Electronic Theses and Dissertations, 2004-2019 2007 A Method Of Content-based Image Retrieval For The Generation Of Image Mosaics Michael Snead University of Central Florida Part of the Computer Engineering Commons Find similar works at: https://stars.library.ucf.edu/etd University of Central Florida Libraries http://library.ucf.edu This Masters Thesis (Open Access) is brought to you for free and open access by STARS. It has been accepted for inclusion in Electronic Theses and Dissertations, 2004-2019 by an authorized administrator of STARS. For more information, please contact [email protected]. STARS Citation Snead, Michael, "A Method Of Content-based Image Retrieval For The Generation Of Image Mosaics" (2007). Electronic Theses and Dissertations, 2004-2019. 3358. https://stars.library.ucf.edu/etd/3358 A METHOD OF CONTENT-BASED IMAGE RETRIEVAL FOR THE GENERATION OF IMAGE MOSAICS by MICHAEL CHRISTOPHER SNEAD B.S. University of Central Florida, 2005 A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in the School of Electrical Engineering and Computer Science in the College of Engineering & Computer Science at the University of Central Florida Orlando, Florida Spring Term 2007 © 2007 Michael Christopher Snead ii ABSTRACT An image mosaic is an artistic work that uses a number of smaller images creatively combined together to form another larger image. Each building block image, or tessera, has its own distinctive and meaningful content, but when viewed from a distance the tesserae come together to form an aesthetically pleasing montage. This work presents the design and implementation of MosaiX, a computer software system that generates these image mosaics automatically. -
First Semester
NATIONAL UNIVERSITY F o u r t h Y e a r S y l l a b u s D e p a r t m e n t of Computer Science and Engineering Four Year B.Sc. Honours Course Effective from the Session: 2017–2018 National University Subject: Computer Science and Engineering Syllabus for Four Year B.Sc. Honours Course Effective from the Session: 2017-2018 Year wise courses and marks distribution FOURTH YEAR Semester VII Course Code Course Title Credit Hours 540201 Artificial Intelligence 3.0 540202 Artificial Intelligence Lab 1.5 540203 Compiler Design and Construction 3.0 540204 Compiler Design Lab 1.5 540205 Computer Graphics 3.0 540206 Computer Graphics Lab 1.5 540207 E-Commerce and Web Engineering 3.0 540208 E-Commerce and Web Engineering Lab 1.5 Total Credits in 7th Semester 18.0 Semester VIII Course Code Course Title Credit Hours Major Theory Courses 540209 Network and Information Security 3.0 540210 Network and Information Security Lab 1.5 540211 Information System Management 3.0 Project/Industry Attachment 540240 Project/Industry Attachment 6.0 Optional Course (any one) 3.0 540212 Simulation and Modeling 540214 Parallel and Distributed Systems 540216 Digital Signal Processing 540218 Digital Image Processing 540220 Multimedia 540222 Pattern Recognition 540224 Design and Analysis of VLSI Systems 540226 Micro-controller and Embedded System 540228 Cyber Law and Computer Forensic 540230 Natural Language Processing 540232 System Analysis and Design 540234 Optical Fiber Communication 540236 Human Computer Interaction 540238 Graph Theory Page 2 of 18 Optional Course -
How I Came up with the Discrete Cosine Transform Nasir Ahmed Electrical and Computer Engineering Department, University of New Mexico, Albuquerque, New Mexico 87131
mxT*L. BImL4L. PRocEsSlNG 1,4-5 (1991) How I Came Up with the Discrete Cosine Transform Nasir Ahmed Electrical and Computer Engineering Department, University of New Mexico, Albuquerque, New Mexico 87131 During the late sixties and early seventies, there to study a “cosine transform” using Chebyshev poly- was a great deal of research activity related to digital nomials of the form orthogonal transforms and their use for image data compression. As such, there were a large number of T,(m) = (l/N)‘/“, m = 1, 2, . , N transforms being introduced with claims of better per- formance relative to others transforms. Such compari- em- lh) h = 1 2 N T,(m) = (2/N)‘%os 2N t ,...) . sons were typically made on a qualitative basis, by viewing a set of “standard” images that had been sub- jected to data compression using transform coding The motivation for looking into such “cosine func- techniques. At the same time, a number of researchers tions” was that they closely resembled KLT basis were doing some excellent work on making compari- functions for a range of values of the correlation coef- sons on a quantitative basis. In particular, researchers ficient p (in the covariance matrix). Further, this at the University of Southern California’s Image Pro- range of values for p was relevant to image data per- cessing Institute (Bill Pratt, Harry Andrews, Ali Ha- taining to a variety of applications. bibi, and others) and the University of California at Much to my disappointment, NSF did not fund the Los Angeles (Judea Pearl) played a key role. -
Working with Colors
Working With Colors INK: The physical form of color; Ink is how color is applied to paper There are two different types of inks: • TRANSPARENT INKS are commonly used in printing • OPAQUE INKS are considered a specialty ink and generally cost more COLOR: in printing, there are two types of color modes: • SPOT COLOR; aka: Match color, PMS color, Solid color • 4-COLOR PRocESS; aka: Process, CMYK Working With Colors With Working SPot COLOR • A pre-mixed color; a color mixed prior to the printing press PMS : PANtoNE MAtcHING SYSTEM • Color system that has several color libraries for reference in reproducing color • Popular PMS color libraries: • Spot color Formula guide (coated, uncoated, and matte versions) solid color guide that identifies specific colors • 4-Color Process Guide (coated and uncoated versions) identifies colors using CMYK inks • Color Bridge (coated and uncoated versions) using the colors from the spot color Formula guide this book shows the difference Working With Colors With Working between a spot color and the same color when converted to CMYK • Metallic Inks • Pastels • Tints • www.pantone.com COATED: Paper stock that has been treated with a special coating in order to have a glossy appearance. • Ink sits on this type of paper stock as a result of the glossy coating • Colors appear to be brighter compared to uncoated paper Matte: coated paper stock that has been dulled UNcoATED : Paper stock that has not been treated; it has no coating. • Ink is absorbed into this type of paper stock • Ink color appears darker and duller Working With Colors With Working BENEFit OF USING SPot coLOR: • consistent color within a print job. -
Digital Video in Multimedia Pdf
Digital video in multimedia pdf Continue Digital Electronic Representation of Moving Visual Images This article is about the digital methods applied to video. The standard digital video storage format can be viewed on DV. For other purposes, see Digital Video (disambiguation). Digital video is an electronic representation of moving visual images (video) in the form of coded digital data. This contrasts with analog video, which is a moving visual image with analog signals. Digital video includes a series of digital images displayed in quick succession. Digital video was first commercially introduced in 1986 in Sony D1 format, which recorded a non-repressive standard digital video definition component. In addition to uncompressed formats, today's popular compressed digital video formats include H.264 and MPEG-4. Modern interconnect standards for digital video include HDMI, DisplayPort, Digital Visual Interface (DVI) and Serial Digital Interface (SDI). Digital video can be copied without compromising quality. In contrast, when analog sources are copied, they experience loss of generation. Digital video can be stored in digital media, such as Blu-ray Disc, in computer data storage, or transmitted over the Internet to end users who watch content on a desktop or digital smart TV screen. In everyday practice, digital video content, such as TV shows and movies, also includes a digital audio soundtrack. History Digital Video Cameras Additional Information: Digital Cinematography, Image Sensor, and Video Camera Base for Digital Video Cameras are metallic oxide-semiconductor (MOS) image sensors. The first practical semiconductor image sensor was a charging device (CCD) invented in 1969 using MOS capacitor technology. -
Gaussplot 8.0.Pdf
GAUSSplotTM Professional Graphics Aptech Systems, Inc. — Mathematical and Statistical System Information in this document is subject to change without notice and does not represent a commitment on the part of Aptech Systems, Inc. The software described in this document is furnished under a license agreement or nondisclosure agreement. The software may be used or copied only in accordance with the terms of the agreement. The purchaser may make one copy of the software for backup purposes. No part of this manual may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying and recording, for any purpose other than the purchaser’s personal use without the written permission of Aptech Systems, Inc. c Copyright 2005-2006 by Aptech Systems, Inc., Maple Valley, WA. All Rights Reserved. ENCSA Hierarchical Data Format (HDF) Software Library and Utilities Copyright (C) 1988-1998 The Board of Trustees of the University of Illinois. All rights reserved. Contributors include National Center for Supercomputing Applications (NCSA) at the University of Illinois, Fortner Software (Windows and Mac), Unidata Program Center (netCDF), The Independent JPEG Group (JPEG), Jean-loup Gailly and Mark Adler (gzip). Bmptopnm, Netpbm Copyright (C) 1992 David W. Sanderson. Dlcompat Copyright (C) 2002 Jorge Acereda, additions and modifications by Peter O’Gorman. Ppmtopict Copyright (C) 1990 Ken Yap. GAUSSplot, GAUSS and GAUSS Engine are trademarks of Aptech Systems, Inc. Tecplot RS, Tecplot, Preplot, Framer and Amtec are registered trademarks or trade- marks of Amtec Engineering, Inc. Encapsulated PostScript, FrameMaker, PageMaker, PostScript, Premier–Adobe Sys- tems, Incorporated. Ghostscript–Aladdin Enterprises. Linotronic, Helvetica, Times– Allied Corporation. -
Openimageio 1.7 Programmer Documentation (In Progress)
OpenImageIO 1.7 Programmer Documentation (in progress) Editor: Larry Gritz [email protected] Date: 31 Mar 2016 ii The OpenImageIO source code and documentation are: Copyright (c) 2008-2016 Larry Gritz, et al. All Rights Reserved. The code that implements OpenImageIO is licensed under the BSD 3-clause (also some- times known as “new BSD” or “modified BSD”) license: Redistribution and use in source and binary forms, with or without modification, are per- mitted provided that the following conditions are met: • Redistributions of source code must retain the above copyright notice, this list of condi- tions and the following disclaimer. • Redistributions in binary form must reproduce the above copyright notice, this list of con- ditions and the following disclaimer in the documentation and/or other materials provided with the distribution. • Neither the name of the software’s owners nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIB- UTORS ”AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FIT- NESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUD- ING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABIL- ITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. -
Netpbm Format - Wikipedia, the Free Encyclopedia
Netpbm format - Wikipedia, the free encyclopedia http://en.wikipedia.org/wiki/Portable_anymap Netpbm format From Wikipedia, the free encyclopedia (Redirected from Portable anymap) The phrase Netpbm format commonly refers to any or all Portable pixmap of the members of a set of closely related graphics formats used and defined by the Netpbm project. The portable Filename .ppm, .pgm, .pbm, pixmap format (PPM), the portable graymap format extension .pnm (PGM) and the portable bitmap format (PBM) are image file formats designed to be easily exchanged between Internet image/x-portable- platforms. They are also sometimes referred to collectively media type pixmap, -graymap, [1] as the portable anymap format (PNM). -bitmap, -anymap all unofficial Developed Jef Poskanzer Contents by 1 History Type of Image file formats 2 File format description format 2.1 PBM example 2.2 PGM example 2.3 PPM example 3 16-bit extensions 4 See also 5 References 6 External links History The PBM format was invented by Jef Poskanzer in the 1980s as a format that allowed monochrome bitmaps to be transmitted within an email message as plain ASCII text, allowing it to survive any changes in text formatting. Poskanzer developed the first library of tools to handle the PBM format, Pbmplus, released in 1988. It mainly contained tools to convert between PBM and other graphics formats. By the end of 1988, Poskanzer had developed the PGM and PPM formats along with their associated tools and added them to Pbmplus. The final release of Pbmplus was December 10, 1991. In 1993, the Netpbm library was developed to replace the unmaintained Pbmplus. -
Watermarked Image Compression and Transmission Through Digital Communication System
International Journal of Electronics, Communication & Instrumentation Engineering Research and Development (IJECIERD) ISSN 2249-684X Vol. 3, Issue 1, Mar 2013, 97-104 © TJPRC Pvt. Ltd. WATERMARKED IMAGE COMPRESSION AND TRANSMISSION THROUGH DIGITAL COMMUNICATION SYSTEM M. VENU GOPALA RAO 1, N. NAGA SWETHA 2, B. KARTHIK 3, D. JAGADEESH PRASAD 4 & K. ABHILASH 5 1Professor, Department of ECE, K L University, Vaddeswaram, Andhra Pradesh, India 2,3,4,5 Student, Department of ECE, K L University, Vaddeswaram, Andhra Pradesh, India ABSTRACT This paper presents a process able to mark digital images with an invisible and undetectable secrete information, called the watermark, followed by compression of the watermarked image and transmitting through a digital communication system. This process can be the basis of a complete copyright protection system. Digital water marking is a feasible method for the protection of ownership rights of digital media such as audio, image, video and other data types. The application includes digital signatures, fingerprinting, broadcast and publication monitoring, copy control, authentication, and secret communication. For the efficient transmission of an image across a channel, source coding in the form of image compression at the transmitter side & the image recovery at the receiver side are the integral process involved in any digital communication system. Other processes like channel encoding, signal modulation at the transmitter side & their corresponding inverse processes at the receiver side along with the channel equalization help greatly in minimizing the bit error rate due to the effect of noise & bandwidth limitations (or the channel capacity) of the channel. The results shows that the effectiveness of the proposed system for retrieving the secret data without any distortion. -
Multi-Media Imager Horizon ® G1 Multi-Media Imager
Hori zon ® G1 Multi-media Imager Horizon ® G1 Multi-media Imager Ove rview The Horizon G1 is an intelligent, desktop dry imager that produces diagnostic quality medical films plus grayscale paper prints if you choose the optional paper feature. The imager is compatible with many industry standard protocols including DICOM and Windows network printing. Horizon also features direct modality connection, with up to 24 simultaneous DICOM connections . High speed image processing, Optional A, A4 ,14”x17” 8” x10”, 14” x17” 11” x 14” Grayscale Pape r Blue and Clear Film Blue Film networking and spooling are standard. Speci fica tions Print Technology: Direct thermal (dry, daylight safe operatio n) Spatial Resolution: 320 DP I (12.6 pixels/mm) Throughput: Up to 100 films per hour Time To Operate: 5 minutes (ready to print from “of f”) Grayscale Contrast Resolutio n: 12 bits (4096) Media Inputs: One supply cassette, 8 0-100 sheets Media Outputs: One receive tray, 5 0-sheet capacity Media Sizes: 8” x 1 0”, 14” x 17” (blue and clea r), 11” x 14 ”(blu e) DirectVista ® Film Optional A, A4, 14” x 17” Direct Vista Grayscale Paper Dmax: >3.10 with Direct Vista Film Archival: >20 years with DirectVista Film, under ANSI extended-term storage conditions Media Supply: All media is pre-packaged and factory sealed Interfaces: Standard: 10/ 100/1,000 Base-T Ethernet (RJ- 45), Serial Console Network Protocols: Standard: 24 DICOM connections, FT P, LPR Optional: Windows network printing Image Formats: Standard: DICOM, TIFF, GIF, PCX, BMP, PGM, PNG, PPM, XWD, JPEG, SGI (RGB), Sunrise Express “Swa p” Service Sun Raster, Targa Smart Card from imager being replaced Optional: PostScript™ compatibility contains all of your internal settings such a s Image Qualit y: Manual calibration IP addresses, gamma and contras t .