dr hab. Paweł Strumiłło
|
|
|
- Jemima Phelps
- 10 years ago
- Views:
Transcription
1 IE PŁ dr hab. Paweł Strumiłło
2 One picture is worth more than ten thousand words Anonymous
3 Literature: 1. Lecture notes (*.pdf files) 2. R.C. Gonzales, R. E. Woods, Digital image processing, Addison-Wesley Publishing Company, J. C. Russ, The image processing handbook, IEEE Press, W. K. Pratt, Digital image processing, John Wiley &Sons, A. Materka, Elements of image processing (in Polish), PWN, 1991.
4 Assesment method: Theory: - written examination (50%). Practice: - project report and presentation (50%)
5 Image processing objectives 1. Improvement of subjective image quality (e.g. in 1964, computerised image processing techniques were applied for correcting distortions of images transmitted from moon space probe Ranger 7 Jet Propulsion Laboratory, USA) JPL JPL
6 Objectives of image processing Improvement of image quality MIT
7 Objectives of image processing Processing of image data for machine perception, storage or transmission (e.g. first application of image processing techniques has enabled reduction of transmision time of an image across the Atlantic from one week to less than 3 hours) IOC, Antwerp 8 bpp JPEG 0.1 bpp Wavelet 0.1 bpp Playboy Magazine JPEG-2000
8 Objectives of image processing Improvement of subjective image quality for human interpretation X-ray image of wheat grain
9 Objectives of image processing Processing of image data for machine perception, storage or transmission FBI fingerprint database 1992 Biometry
10 Objectives of image processing Stereovision scene analysis Left camera image Right camera image Pseudocolored depth image Nearest objects extracted Reconstruction of depth
11 Image understanding trees sky land? water
12 Natural image processing scheme Image (90% of data) Decision
13 Computer vision system Image preprocessing Segmentation Feature extraction Image aquisition Computer + program + knowledge Image analysis and perception 9
14 Course material: 1. Image acquisition and representation 2. Image enhancement 3. Image restoration 4. Image analysis 5. Image coding 6. Stereovision
15 Image enhancement Gray-scale transformation
16 Image restoration Addison_Wesley Inc. motion blur restored image
17 Image analysis Image aquisition Feature extraction Feature description Recognition
18 Image compression (JPEG, MPEG, JPEG2000) i.e. how to push an elephant through a pin-hole Source image Transmission channel Reconstructed image
19 Image processing systems - applications science and industry (quality control, sorting,...) medicine (X-ray images, computed tomography, MRI, USG, microscopy,...) army (target tracking, quided missiles, unmanned flying vehicles) robotics (welding, painting, robots,...) Earth and space exploration (interpretation of satellite images, space probes,...) Biometrics, human computer interaction systems.
20 Image processing system developed at the Medical Electronics Division, Institute of Electronics in (1989) TV camera frame + grabber + + programs Microscope image of a nerve tissue Bacteria colony image Latex model of brain veins
21 Analysis of documents Student questionnaire
22 Electromagnetic spectrum frequency, Hz gamma rays X rays microwaves radio waves ultraviolet Visible light Infrared waves [nm]
23 Ultrasonography
24 Computed tomography
25 Magnetic resonance imaging (MRI) Przekrój głowy
26 Magnetic resonance imaging (MRI) COST B11 action "Quantitation of Magnetic Resonance Image Texture ( ) COST B21 "Physiological modelling of MR Image formation"
27 3D objects modelling Computer graphics Reconstruction 3D visualisation Surface rendering Virtual reality
28 The Visible Human Project Head slice CT MRI
29 Computed thermography Thermogram Visible light image Medicine Power eng. Civil eng.
30 Image processing applications: mammography
31 Image processing applications: biometrics Juliusz Jaksa, Krzysztof Ślot, Piotr Szczypiński Face recognition using deformable models, ICSES 2001
32 Image processing applications H. Nowak Computer lip-reading, PhD project conducted at the Medical Electronics Division
33 Image processing applications: biometrics J. Daugman
34 Image processing applications: image databases a concept of an image or a copy of an image database hit DWT C.E. Jacobs, A. Finkelstein, D.H. Salesis, Fast multiresolution image quering, 1999
35 Monochrome image as a 2D function Ω f(x,y) y x y M : 2 Ω R R+ ( x, y) f ( x, y)
36 Image brightness profile Distance along profile
37 RGB colour images R B G
38 RGB colour images Distance along profile RGB image and colour components profiles
39 Digital image discretisation + quantization pixel (picture element)
40 Digital image as pixel array (0,0) X f(x,y) Y
41 Digital image as pixel array Digital image f(x,y): f 2D array (M,N), ie. of M rows and N columns, of nonnegative elements assuming a limited number of levels ( x, y) = 0,1,..., L 1 (np. L=256) x y = 0,1,..., N = 0,1,..., M 1 1 Colour digital image?
42 Colour digital RGB image If each of the colour component is 8 bit coded then 2 24 different colours can be obtained! f ( x, y) = ( f, f, f ) R G B
43 Colour indexed image f=25 R G B Monochrome image... Colour palette (look-up table) Colour image
44 Image file formats Image file formats were devised for the two main reasons: file compatibility (exchange of data) data compression The most popular image file formats: JPEG (Joint Photographic Experts Group) NEW: JPEG2000 GIF (Graphics Interchange Format) PNG (Portable Network Graphic) TIFF (Tagged Image File Format) BMP, PCX,
45 Raster (bitmap) vs. Vector graphics Vector graphics: Images are built from simple geometrical shapes: points, lines, curves, polygons Raster graphics: Images are built from an array of elementary points (pixels), Wikipedia
46 Comparison of main image file formats Format File ext. Main features Application JPEG.jpg Transform based, CR defined lossy compression (DCT) Very good for compressing photographs JPEG 2000.jp2 New transform based, CR defined lossy compression (Discrete Wavelet Transform) Excellent for compressing photographs, to replace JPEG GIF.gif Indexed image format, max. 256 colours, lossless coding Internet, animated GIFs PNG.png Promoted by the www consortium to replace GIF Internet, no animation (foreseen MNG), alpha channel, better for text images than JPEG TIFF.tif Highly structured, complicated format, Mainly for scanning text documents BMP.bmp Simple uncompressed format For use in Windows OS
47 Hands on demo
Michał Strzelecki, Paweł Strumiłło [mstrzel,pstrumil]@p.lodz.pl
![Michał Strzelecki, Paweł Strumiłło [mstrzel,pstrumil]@p.lodz.pl](/thumbs/26/8654425.jpg "Michał Strzelecki, Paweł Strumiłło [mstrzel,pstrumil]@p.lodz.pl")
Michał Strzelecki, Paweł Strumiłło [mstrzel,pstrumil]@p.lodz.pl One picture is worth more than ten thousand words Anonymous Literature: 1. Lecture notes (*.pdf files) www.eletel.p.lodz.pl 2. R.C. Gonzales,
Comparison of different image compression formats. ECE 533 Project Report Paula Aguilera
Comparison of different image compression formats ECE 533 Project Report Paula Aguilera Introduction: Images are very important documents nowadays; to work with them in some applications they need to be
Digital Image Fundamentals. Selim Aksoy Department of Computer Engineering Bilkent University [email protected]
Digital Image Fundamentals Selim Aksoy Department of Computer Engineering Bilkent University [email protected] Imaging process Light reaches surfaces in 3D. Surfaces reflect. Sensor element receives
MMGD0203 Multimedia Design MMGD0203 MULTIMEDIA DESIGN. Chapter 3 Graphics and Animations
MMGD0203 MULTIMEDIA DESIGN Chapter 3 Graphics and Animations 1 Topics: Definition of Graphics Why use Graphics? Graphics Categories Graphics Qualities File Formats Types of Graphics Graphic File Size Introduction
Digital Image Processing: Introduction
Digital : Introduction Slides by Brian Mac Namee [email protected] Materials found at: Slides: http://www.comp.dit.ie/bmacnamee/materials/dip/lectures/1-introduction.ppt Lectures: http://homepages.inf.ed.ac.uk/rbf/books/vernon/
TEXT FILES. Format Description / Properties Usage and Archival Recommendations
TEXT FILES Format Description / Properties Usage and Archival Recommendations.txt.doc.docx.rtf.odt.pdf PDF/A Text file Simple plain text document Compatible across software packages Supports very little
Introduction to image coding
Introduction to image coding Image coding aims at reducing amount of data required for image representation, storage or transmission. This is achieved by removing redundant data from an image, i.e. by
Fundamentals of Image Analysis and Visualization (the short version) Rebecca Williams, Director, BRC-Imaging
Fundamentals of Image Analysis and Visualization (the short version) Rebecca Williams, Director, BRC-Imaging A digital image is a matrix of numbers (in this case bytes) 6 2 4 4 2 0 2 0 2 4 4 4 4 8 12 4
Data Storage 3.1. Foundations of Computer Science Cengage Learning
3 Data Storage 3.1 Foundations of Computer Science Cengage Learning Objectives After studying this chapter, the student should be able to: List five different data types used in a computer. Describe how
Introduction. Stefano Ferrari. Università degli Studi di Milano [email protected]. Elaborazione delle immagini (Image processing I)
Introduction Stefano Ferrari Università degli Studi di Milano [email protected] Elaborazione delle immagini (Image processing I) academic year 2011 2012 Image processing Computer science concerns
MassArt Studio Foundation: Visual Language Digital Media Cookbook, Fall 2013
INPUT OUTPUT 08 / IMAGE QUALITY & VIEWING In this section we will cover common image file formats you are likely to come across and examine image quality in terms of resolution and bit depth. We will cover
Introduction to Computer Graphics
Introduction to Computer Graphics Torsten Möller TASC 8021 778-782-2215 [email protected] www.cs.sfu.ca/~torsten Today What is computer graphics? Contents of this course Syllabus Overview of course topics
Computer Animation and Visualisation. Lecture 1. Introduction
Computer Animation and Visualisation Lecture 1 Introduction 1 Today s topics Overview of the lecture Introduction to Computer Animation Introduction to Visualisation 2 Introduction (PhD in Tokyo, 2000,
ENG4BF3 Medical Image Processing. Image Visualization
ENG4BF3 Medical Image Processing Image Visualization Visualization Methods Visualization of medical images is for the determination of the quantitative information about the properties of anatomic tissues
Data Storage. Chapter 3. Objectives. 3-1 Data Types. Data Inside the Computer. After studying this chapter, students should be able to:
Chapter 3 Data Storage Objectives After studying this chapter, students should be able to: List five different data types used in a computer. Describe how integers are stored in a computer. Describe how
Visual perception basics. Image aquisition system. P. Strumiłło
Visual perception basics Image aquisition system P. Strumiłło Light perception by humans Humans perceive approx. 90% of information about the environment by means of visual system. Efficiency of the human
Digitisation Disposal Policy Toolkit
Digitisation Disposal Policy Toolkit Glossary of Digitisation Terms August 2014 Department of Science, Information Technology, Innovation and the Arts Document details Security Classification Date of review
ANALYSIS OF THE COMPRESSION RATIO AND QUALITY IN MEDICAL IMAGES
ISSN 392 24X INFORMATION TECHNOLOGY AND CONTROL, 2006, Vol.35, No.4 ANALYSIS OF THE COMPRESSION RATIO AND QUALITY IN MEDICAL IMAGES Darius Mateika, Romanas Martavičius Department of Electronic Systems,
Digital Preservation. Guidance Note: Graphics File Formats
Digital Preservation 4 Guidance Note: Graphics File Formats Document Control Author: Adrian Brown, Head of Digital Preservation Research Document Reference: DPGN-04 Issue: 2 Issue Date: August 2008 THE
Computers Are Your Future Eleventh Edition Chapter 5: Application Software: Tools for Productivity
Computers Are Your Future Eleventh Edition Chapter 5: Application Software: Tools for Productivity Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 1 All rights reserved. No part of this
Compression techniques
Compression techniques David Bařina February 22, 2013 David Bařina Compression techniques February 22, 2013 1 / 37 Contents 1 Terminology 2 Simple techniques 3 Entropy coding 4 Dictionary methods 5 Conclusion
Electronic Records Management Guidelines - File Formats
Electronic Records Management Guidelines - File Formats Rapid changes in technology mean that file formats can become obsolete quickly and cause problems for your records management strategy. A long-term
A Basic Summary of Image Formats
A Basic Summary of Image Formats Merciadri Luca [email protected] Abstract. We summarize here the most used image formats, and their respective principal applications. Keywords: image formats,
Chapter 3 Graphics and Image Data Representations
Chapter 3 Graphics and Image Data Representations 3.1 Graphics/Image Data Types 3.2 Popular File Formats 3.3 Further Exploration 1 Li & Drew c Prentice Hall 2003 3.1 Graphics/Image Data Types The number
Digital Imaging and Image Editing
Digital Imaging and Image Editing A digital image is a representation of a twodimensional image as a finite set of digital values, called picture elements or pixels. The digital image contains a fixed
Structures for Data Compression Responsible persons: Claudia Dolci, Dante Salvini, Michael Schrattner, Robert Weibel
Geographic Information Technology Training Alliance (GITTA) presents: Responsible persons: Claudia Dolci, Dante Salvini, Michael Schrattner, Robert Weibel Content 1.... 2 1.1. General Compression Concepts...3
encoding compression encryption
encoding compression encryption ASCII utf-8 utf-16 zip mpeg jpeg AES RSA diffie-hellman Expressing characters... ASCII and Unicode, conventions of how characters are expressed in bits. ASCII (7 bits) -
Data analysis and visualization topics
Data analysis and visualization topics Sergei MAURITS, ARSC HPC Specialist [email protected] Content Day 1 - Visualization of 3-D data - basic concepts - packages - steady graphics formats and compression
B2.53-R3: COMPUTER GRAPHICS. NOTE: 1. There are TWO PARTS in this Module/Paper. PART ONE contains FOUR questions and PART TWO contains FIVE questions.
B2.53-R3: COMPUTER GRAPHICS NOTE: 1. There are TWO PARTS in this Module/Paper. PART ONE contains FOUR questions and PART TWO contains FIVE questions. 2. PART ONE is to be answered in the TEAR-OFF ANSWER
Introducing MIPAV. In this chapter...
1 Introducing MIPAV In this chapter... Platform independence on page 44 Supported image types on page 45 Visualization of images on page 45 Extensibility with Java plug-ins on page 47 Sampling of MIPAV
Data analysis and visualization topics
10/23/12 Data analysis and visualization topics Sergei MAURITS, ARSC HPC Specialist [email protected] Schedule - Visualization of 3-D data, visualization package Vis5D, conversion of user data to.v5d format
ANALYSIS OF THE EFFECTIVENESS IN IMAGE COMPRESSION FOR CLOUD STORAGE FOR VARIOUS IMAGE FORMATS
ANALYSIS OF THE EFFECTIVENESS IN IMAGE COMPRESSION FOR CLOUD STORAGE FOR VARIOUS IMAGE FORMATS Dasaradha Ramaiah K. 1 and T. Venugopal 2 1 IT Department, BVRIT, Hyderabad, India 2 CSE Department, JNTUH,
resource Osirix as a Introduction
as a osirix-viewer.com/snapshots.html by Tonya Limberg 2008, MS, Biomedical Visualization, University of Illinois at Chicago Introduction is a freeware program available to the public on the Apple Inc.
File Formats. Summary
Summary Rapid changes in technology mean that file formats can become obsolete quickly and cause problems for your records management strategy. A long-term view and careful planning can overcome this risk
B.A IN GRAPHIC DESIGN
COURSE GUIDE B.A IN GRAPHIC DESIGN GRD 126 COMPUTER GENERATED GRAPHIC DESIGN I UNIVERSITY OF EDUCATION, WINNEBA DEPARTMENT OF GRAPHIC DESIGN Copyright Acknowledgements The facilitating agent of the course
Medical Imaging Introduction to Medical Imaging
Micha Strzelecki Institute of Electronics Medical Imaging Biomedical Engineering, IFE, 2013 Medical Imaging Introduction Image quality Imaging technology: Radiography Computed Tomography Magnetic Resonance
Use the following image to answer the next question. 1. Which of the following rows identifies the electrical charge on A and B shown above?
Old Science 30 Physics Practice Test A on Fields and EMR Test Solutions on the Portal Site Use the following image to answer the next question 1. Which of the following rows identifies the electrical charge
Computer Graphics in Medicine
Computer Graphics in Medicine Loren Block For my presentation, I will discuss several different papers that are related to graphics and imaging in the medical field. The main areas that the papers cover
Limitations of Human Vision. What is computer vision? What is computer vision (cont d)?
What is computer vision? Limitations of Human Vision Slide 1 Computer vision (image understanding) is a discipline that studies how to reconstruct, interpret and understand a 3D scene from its 2D images
Reduce File Size. Compatibility. Contents
Reduce File Size Revu provides a mechanism for reducing the size of some PDFs to make them more suitable for email or a Document Management System. This tool works by compressing bitmap images and removing
Links. Blog. Great Images for Papers and Presentations 5/24/2011. Overview. Find help for entire process Quick link Theses and Dissertations
Overview Great Images for Papers and Presentations May 26, 2011 Web Tips Definitions Using the Michigan Tech logo Photography 101 Great images from others Great images you create PDF conversion Final words
Readings in Image Processing
OVERVIEW OF IMAGE PROCESSING K.M.M. Rao*,Deputy Director,NRSA,Hyderabad-500 037 Introduction Image Processing is a technique to enhance raw images received from cameras/sensors placed on satellites, space
Introduction. Chapter 1
1 Chapter 1 Introduction Robotics and automation have undergone an outstanding development in the manufacturing industry over the last decades owing to the increasing demand for higher levels of productivity
Understanding HD: Frame Rates, Color & Compression
Understanding HD: Frame Rates, Color & Compression HD Format Breakdown An HD Format Describes (in no particular order) Resolution Frame Rate Bit Rate Color Space Bit Depth Color Model / Color Gamut Color
Optimizing graphic files
Optimizing graphic files Introduction As soon as I started using web-authoring tools, I realized that I should be careful to use graphics on the web. Well-designed graphics usually make the web site more
Image Resolution. Color Spaces: RGB and CMYK. File Types and when to use. Image Resolution. Finding Happiness at 300 dots-per-inch
Image Resolution Color Spaces: RGB and CMYK File Types and when to use Image Resolution Finding Happiness at 300 dots-per-inch Rules to remember Text should be 400dpi at the final size in the layout. Images
C++ for Image Processing
C++ for Image Processing Pengwei Hao [email protected] Lecture 1, ECS624U / ECS756P/D Department of Computer Science Queen Mary, University of London The Module Lectures: Friday, 1-3pm, Bancroft Road Teaching
balesio Native Format Optimization Technology (NFO)
balesio AG balesio Native Format Optimization Technology (NFO) White Paper Abstract balesio provides the industry s most advanced technology for unstructured data optimization, providing a fully system-independent
Version 8 DICOM Conformance Statement. Version 3.04, September 2014
Version 8 DICOM Conformance Statement Version 3.04, September 2014 1 Conformance Statement Overview The application described in this Conformance Statement VEPRO EMR Manager PACS is a collection of processes
1. Introduction to image processing
1 1. Introduction to image processing 1.1 What is an image? An image is an array, or a matrix, of square pixels (picture elements) arranged in columns and rows. Figure 1: An image an array or a matrix
DICOM Digital Imaging and Communications in Medicine
DICOM Digital Imaging and Communications in Medicine INF5081 / Vårsemester 2007 Wolfgang Leister Reidar Øksnevad Pedro Cruz G. April 2007 PACS PACS = Picture Archive and Communication System Archive for
ACADEMIC TECHNOLOGY SUPPORT
ACADEMIC TECHNOLOGY SUPPORT Adobe Photoshop Introduction Part 1 (Basics- Image Manipulation) [email protected] 439-8611 www.etsu.edu/ats Table of Contents: Overview... 1 Objectives... 1 Basic Graphic Terminology...
Review Vocabulary spectrum: a range of values or properties
Standards 7.3.19: Explain that human eyes respond to a narrow range of wavelengths of the electromagnetic spectrum. 7.3.20: Describe that something can be seen when light waves emitted or reflected by
Computer Vision for Quality Control in Latin American Food Industry, A Case Study
Computer Vision for Quality Control in Latin American Food Industry, A Case Study J.M. Aguilera A1, A. Cipriano A1, M. Eraña A2, I. Lillo A1, D. Mery A1, and A. Soto A1 e-mail: [jmaguile,aciprian,dmery,asoto,]@ing.puc.cl
In addition, a decision should be made about the date range of the documents to be scanned. There are a number of options:
Version 2.0 December 2014 Scanning Records Management Factsheet 06 Introduction Scanning paper documents provides many benefits, such as improved access to information and reduced storage costs (either
How to Send Video Images Through Internet
Transmitting Video Images in XML Web Service Francisco Prieto, Antonio J. Sierra, María Carrión García Departamento de Ingeniería de Sistemas y Automática Área de Ingeniería Telemática Escuela Superior
Each figure of a manuscript should be submitted as a single file.
Introduction This page provides general information for authors creating figures to maximize the quality of those illustrations and to prepare artwork for submission to the Brazilian Journal of Medical
1. INTRODUCTION Graphics 2
1. INTRODUCTION Graphics 2 06-02408 Level 3 10 credits in Semester 2 Professor Aleš Leonardis Slides by Professor Ela Claridge What is computer graphics? The art of 3D graphics is the art of fooling the
A BRIEF STUDY OF VARIOUS NOISE MODEL AND FILTERING TECHNIQUES
Volume 4, No. 4, April 2013 Journal of Global Research in Computer Science REVIEW ARTICLE Available Online at www.jgrcs.info A BRIEF STUDY OF VARIOUS NOISE MODEL AND FILTERING TECHNIQUES Priyanka Kamboj
A Proposal for OpenEXR Color Management
A Proposal for OpenEXR Color Management Florian Kainz, Industrial Light & Magic Revision 5, 08/05/2004 Abstract We propose a practical color management scheme for the OpenEXR image file format as used
SCIENTIFIC WORKING GROUP ON IMAGING TECHNOLOGIES (SWGIT)
SCIENTIFIC WORKING GROUP ON IMAGING TECHNOLOGIES (SWGIT) DRAFT RECOMMENDATIONS AND GUIDELINES FOR THE USE OF DIGITAL IMAGE PROCESSING IN THE CRIMINAL JUSTICE SYSTEM (Version 1.1 February 2001) The purpose
Image Databases INLS 623 Lina Huang Elise Moore Ketan Palshikar Nevin Yang
Image Databases INLS 623 Lina Huang Elise Moore Ketan Palshikar Nevin Yang What is an image database? Definition - a collection of image data, typically associated with the activities of one or more related
http://www.springer.com/0-387-23402-0
http://www.springer.com/0-387-23402-0 Chapter 2 VISUAL DATA FORMATS 1. Image and Video Data Digital visual data is usually organised in rectangular arrays denoted as frames, the elements of these arrays
Print Services User Guide
Print Services User Guide Understanding Artwork for Print 1 Preferred Formats: Preferred formats should contain only vector-based graphics and text, and/or high-resolution images. Low resolution images
How Landsat Images are Made
How Landsat Images are Made Presentation by: NASA s Landsat Education and Public Outreach team June 2006 1 More than just a pretty picture Landsat makes pretty weird looking maps, and it isn t always easy
A Short Introduction to Computer Graphics
A Short Introduction to Computer Graphics Frédo Durand MIT Laboratory for Computer Science 1 Introduction Chapter I: Basics Although computer graphics is a vast field that encompasses almost any graphical
Computer Vision. Color image processing. 25 August 2014
Computer Vision Color image processing 25 August 2014 Copyright 2001 2014 by NHL Hogeschool and Van de Loosdrecht Machine Vision BV All rights reserved [email protected], [email protected] Color image
EVIDENCE PHOTOGRAPHY TEST SPECIFICATIONS MODULE 1: CAMERA SYSTEMS & LIGHT THEORY (37)
EVIDENCE PHOTOGRAPHY TEST SPECIFICATIONS The exam will cover evidence photography involving crime scenes, fire scenes, accident scenes, aircraft incident scenes, surveillances and hazardous materials scenes.
INTRODUCTION IMAGE PROCESSING >INTRODUCTION & HUMAN VISION UTRECHT UNIVERSITY RONALD POPPE
INTRODUCTION IMAGE PROCESSING >INTRODUCTION & HUMAN VISION UTRECHT UNIVERSITY RONALD POPPE OUTLINE Course info Image processing Definition Applications Digital images Human visual system Human eye Reflectivity
SkillsUSA 2014 Contest Projects 3-D Visualization and Animation
SkillsUSA Contest Projects 3-D Visualization and Animation Click the Print this Section button above to automatically print the specifications for this contest. Make sure your printer is turned on before
Introduction to Medical Image Compression Using Wavelet Transform
National Taiwan University Graduate Institute of Communication Engineering Time Frequency Analysis and Wavelet Transform Term Paper Introduction to Medical Image Compression Using Wavelet Transform 李 自
COLLATED QUESTIONS: ELECTROMAGNETIC RADIATION
COLLATED QUESTIONS: ELECTROMAGNETIC RADIATION 2011(2): WAVES Doppler radar can determine the speed and direction of a moving car. Pulses of extremely high frequency radio waves are sent out in a narrow
UNIVERSITY OF CALICUT
UNIVERSITY OF CALICUT SCHOOL OF DISTANCE EDUCATION CCSS UG (SDE) V SEMESTER OPEN COURSE INTRODUCTION TO MULTIMEDIA (For the UG candidates with core course other than BMMC) QUESTION BANK 1. Compression
1. Redistributions of documents, or parts of documents, must retain the SWGIT cover page containing the disclaimer.
Disclaimer: As a condition to the use of this document and the information contained herein, the SWGIT requests notification by e-mail before or contemporaneously to the introduction of this document,
Computer Applications in Textile Engineering. Computer Applications in Textile Engineering
3. Computer Graphics Sungmin Kim http://latam.jnu.ac.kr Computer Graphics Definition Introduction Research field related to the activities that includes graphics as input and output Importance Interactive
Study and Implementation of Video Compression Standards (H.264/AVC and Dirac)
Project Proposal Study and Implementation of Video Compression Standards (H.264/AVC and Dirac) Sumedha Phatak-1000731131- [email protected] Objective: A study, implementation and comparison of
To be productive in today s graphic s industry, a designer, artist, or. photographer needs to have some basic knowledge of various file
An Artist s Digital Toolkit Allan Wood, for educational use only Understanding File Formats File Formats To be productive in today s graphic s industry, a designer, artist, or photographer needs to have
Standard encoding protocols for image and video coding
International Telecommunication Union Standard encoding protocols for image and video coding Dave Lindbergh Polycom Inc. Rapporteur, ITU-T Q.E/16 (Media Coding) Workshop on Standardization in E-health
COMPUTERS ARE YOUR FUTURE CHAPTER 5 APPLICATION SOFTWARE: TOOLS FOR PRODUCTIVITY
COMPUTERS ARE YOUR FUTURE CHAPTER 5 APPLICATION SOFTWARE: TOOLS FOR PRODUCTIVITY Answers to End-of-Chapter Questions Matching _e 1. slide Microsoft Powerpoint 2010 _d 2. group An Overview of Microsoft
COMP175: Computer Graphics. Lecture 1 Introduction and Display Technologies
COMP175: Computer Graphics Lecture 1 Introduction and Display Technologies Course mechanics Number: COMP 175-01, Fall 2009 Meetings: TR 1:30-2:45pm Instructor: Sara Su ([email protected]) TA: Matt Menke
Colorado School of Mines Computer Vision Professor William Hoff
Professor William Hoff Dept of Electrical Engineering &Computer Science http://inside.mines.edu/~whoff/ 1 Introduction to 2 What is? A process that produces from images of the external world a description
ELECTRONIC DOCUMENT IMAGING
AIIM: Association for Information and Image Management. Trade association and professional society for the micrographics, optical disk and electronic image management markets. Algorithm: Prescribed set
Data Migration Format Considerations Don Bridges / Data Conversion Laboratory Agenda Format Options Migration Issues Recommendations Alphabet Soup HTML Hypertext Markup Language is the set of "markup"
ART 170: Web Design 1
Banner Design Project Overview & Objectives Everyone will design a banner for a veterinary clinic. Objective Summary of the Project General objectives for the project in its entirety are: Design a banner
HP Smart Document Scan Software compression schemes and file sizes
Technical white paper HP Smart Document Scan Software compression schemes and file s Table of contents Introduction 2 schemes supported in HP Smart Document Scan Software 2 Scheme Types 2 2 PNG 3 LZW 3
MODELING AND ANIMATION
UNIVERSITY OF CALICUT SCHOOL OF DISTANCE EDUCATION B M M C (2011 Admission Onwards) VI Semester Core Course MODELING AND ANIMATION QUESTION BANK 1. 2D Animation a) Wire Frame b) More than two Dimension
Graphic Design. Background: The part of an artwork that appears to be farthest from the viewer, or in the distance of the scene.
Graphic Design Active Layer- When you create multi layers for your images the active layer, or the only one that will be affected by your actions, is the one with a blue background in your layers palette.
Introduction to Computer Graphics
Introduction to Computer Graphics Version 1.1, January 2016 David J. Eck Hobart and William Smith Colleges This is a PDF version of a free, on-line book that is available at http://math.hws.edu/graphicsbook/.
UNIVERSITY OF CALICUT
UNIVERSITY OF CALICUT SCHOOL OF DISTANCE EDUCATION BMMC (2011 Admission) V SEMESTER CORE COURSE AUDIO RECORDING & EDITING QUESTION BANK 1. Sound measurement a) Decibel b) frequency c) Wave 2. Acoustics
designed and prepared for california safe routes to school by circle design circledesign.net Graphic Standards
Graphic Standards Table of Contents introduction...2 General Usage...2 Logo lockups: color...3 LOGO LOCKUPS: GRAYSCALE...4 Minimum Staging Area...5 Minimum Logo Size...6 Type Family...7 Color Palettes...8
14.10.2014. Overview. Swarms in nature. Fish, birds, ants, termites, Introduction to swarm intelligence principles Particle Swarm Optimization (PSO)
Overview Kyrre Glette kyrrehg@ifi INF3490 Swarm Intelligence Particle Swarm Optimization Introduction to swarm intelligence principles Particle Swarm Optimization (PSO) 3 Swarms in nature Fish, birds,