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Title: Andries van Dam September 7, 2004 Introduction 1/56


1
Andries van Dam September 7,
2004 Introduction 1/56
  • Introduction

2
Andries van Dam September 7,
2004 Introduction 2/56
What is Computer Graphics? (1/2)
  • Computer graphics is commonly understood to mean
    the creation, storage and manipulation of models
    and images.
  • Such models come from a diverse and expanding set
    of fields including physical, mathematical,
    artistic, biological, and even conceptual
    (abstract) structures.

Frame from an animation by William Latham, shown
at SIGGRAPH 1992. Latham uses rules that govern
patterns of natural forms to create his artwork.
3
Andries van Dam September 7,
2004 Introduction 3/56
What is Computer Graphics? (2/2)
  • The term computer graphics was coined in 1960
    by William Fetter to describe new design methods
    he was pursuing at Boeing.
  • He created a series of widely reproduced images
    on a pen plotter exploring cockpit design, using
    a 3D model of a human body.

Perhaps the best way to define computer graphics
is to find out what it is not. It is not a
machine. It is not a computer, nor a group of
computer programs. It is not the know-how of a
graphic designer, a programmer, a writer, a
motion picture specialist, or a reproduction
specialist. Computer graphics is all these a
consciously managed and documented technology
directed toward communicating information
accurately and descriptively. Computer Graphics,
by William A. Fetter, 1966
4
Andries van Dam September 7,
2004 Introduction 4/56
What is Interactive Computer
Graphics? (1/3)
  • User controls contents, structure, and appearance
    of objects and their displayed images via rapid
    visual feedback
  • Basic components of an interactive graphics
    system
  • input (e.g., mouse, tablet and stylus, force
    feedback device, scanner, live video streams)
  • processing (and storage)
  • display/output (e.g., screen, paper-based
    printer, video recorder, non-linear editor)
  • First truly interactive graphics system,
    Sketchpad, pioneered at MIT by Ivan Sutherland
    for his 1963 Ph.D. thesis

Sketchpad in 1963. Note the use of a CRT monitor,
light pen and function-key panel.
5
Andries van Dam September 7,
2004 Introduction 5/56
What is Interactive Computer
Graphics? (2/3)
  • Before Sketchpad, output via plotters/printers,
    input via keypunch, both in batch
  • Batch (1950s now)

Card punching (left). The IBM 704 (right) took up
a whole room and was capable of about 4,000
arithmetic operations/second. Cool facts
Whirlwind, built in the early 50s at MIT, cost
4.5 million and could perform 40,000
additions/second. Mac 512K, list price 3,195 in
1984, could do 500,000. Today, commodity PCs
perform approximately two or three billion
operations/second.
6
Andries van Dam September 7,
2004 Introduction 6/56
What is Interactive Computer
Graphics? (3/3)
  • Almost all the key elements of interactive
    graphics system are expressed in the first
    paragraph of Sutherlands 1963 Ph.D. thesis,
    entitled, Sketchpad, A Man-Machine Graphical
    Communication System
  • Today, still use batch mode for final
    production-quality video and film (special
    effects fx), where one frame of a 24 fps movie
    may take 8-24 hours to render on the fastest PC!

The Sketchpad system uses drawing as a novel
communication medium for a computer. The system
contains input, output, and computation programs
which enable it to interpret information drawn
directly on a computer display. Sketchpad has
shown the most usefulness as an aid to the
understanding of processes, such as the motion of
linkages, which can be described with pictures.
Sketchpad also makes it easy to draw highly
repetitive or highly accurate drawings and to
change drawings previously drawn with it
7
Andries van Dam September 7,
2004 Introduction 7/56
Environmental (R)evolution (1/6)
  • Graphics has been a key enabling technology in
    the evolution of computing environments
  • graphical user interfaces
  • visual computing, e.g., desktop publishing,
    scientific visualization, information
    visualization
  • Hardware revolution drives everything
  • every 12-18 months, computer power improves by
    factor of 2 in price / performance Moores Law
  • 3Com Palm organizers, Compaq I-Paq as a full PC
  • Hallmark singing card, LeapFrog Pad
  • graphics memory and network speeds are on even
    faster exponentials
  • Graphics chips in particular have major
    improvements every six to nine months (e.g.
    nVidia GeForce series, ATI Radeon series)

8
Andries van Dam September 7,
2004 Introduction 8/56
Environmental (R)evolution (2/6)
  • Character Displays (1960s now)
  • Display text plus alphamosaic pseudo-graphics
  • Object and command specification command-line
    typing
  • Control over appearance coding for text
    formatting (.p paragraph, .i 5 indent 5)
  • Application control single task

9
Andries van Dam September 7,
2004 Introduction 9/56
Environmental (R)evolution (3/6)
  • Vector (Calligraphic, Line Drawing)
  • Displays (1963 1980s)
  • Display line drawings and stroke text 2D and 3D
    transformation hardware
  • Object and command specification command-line
    typing, function keys, menus
  • Control over appearance pseudo-WYSIWYG
  • Application control single or multitasked,
    mainframe host-minicomputer satellite distributed
    computing pioneered at Brown

10
Andries van Dam September 7,
2004 Introduction 10/56
Environmental (R)evolution (4/6)
  • 2D bitmap raster displays for PCs and
    workstations
  • (1972 at Xerox PARC - now)
  • Display windows, icons, legible text and flat
    earth graphics
  • Note late 60s saw first use of raster
    graphics, especially for flight simulators
  • Object and command specification minimal typing
    via WIMP (Windows, Icons, Menus, Pointer) GUI
    (Graphical User Interface) point-and-click
    selection of menu items and objects, widgets and
    direct manipulation (e.g., drag and drop), the
    messy desktop metaphor
  • Control over appearance WYSIWYG (which is really
    WYSIAYG, What You See Is All You Get)
  • Application control multi-tasking, networked
    client-server computation and window management
    (even X terminals)

11
Andries van Dam September 7,
2004 Introduction 11/56
Environmental (R)evolution (5/6)
  • 3D graphics workstations (1984 at SGI now)
  • Display real-time, pseudo-realistic images of 3D
    scenes
  • Object and command specification 2D, 3D and nD
    input devices (controlling 3 degrees of freedom)
    and force feedback haptic devices for
    point-and-click, widgets, and direct manipulation
  • Control over appearance WYSIWYG (still WYSIAYG)
  • Application control multi-tasking, networked
    (client/server) computation and window management
  • High-end PCs with hot graphics cards (nVidia
    GeForce, ATI Radeon) are supplanting graphics
    workstations
  • Such PCs are clustered together over high speed
    buses or LANs to provide scalable graphics to
    drive tiled PowerWalls, Caves, etc.

12
Andries van Dam September 7,
2004 Introduction 12/56
Environmental (R)evolution (6/6)
  • Classical time-sharing is dead, 1n g n1
  • PCs and Workstations merging in distributed
    heterogeneous computer networks (e.g., LANs,
    WANs, Internet and clusters)
  • But file-, print- and compute-servers and network
    are still shared
  • Client/server computing, component software
    technologies are dominant paradigms
  • NCs (Network Computers), thin clients attached to
    powerful servers reprise dumb terminals and
    provide central control havent really taken off

13
Andries van Dam September 7,
2004 Introduction 13/56
New Forms of Computing1990-2004
(1/7)
  • Multimedia text and graphics synchronized with
    sound and video
  • Hypermedia multimedia with hypertextual links
    (also called Interactive Multimedia)
  • Discredited term Digital Convergence, the
    merging of digital television and distributed
    computing, consumer electronics set-top
    computers (e.g., for Interactive TV,
    Video-On-Demand)
  • The Internet and Internet appliances
  • Embedded computing (information appliances,
    Personal Digital Assistants)
  • Ubiquitous/pervasive/invisible/nomadic computing,
    active badges a la Xerox PARC, with hundreds of
    devices per person seamless computing is the
    dream

14
Andries van Dam September 7,
2004 Introduction 14/56
New Forms of Computing1990-2004
(2/7)
  • Virtual Reality

fully immersive VR(via Head-mounted Displays,
Cave 180 George St.)
CAVE
15
Andries van Dam September 7,
2004 Introduction 15/56
New Forms of Computing1990-2004
(3/7)
Cave Painting
Archeological research and analysis tool
CMU CUBE
16
Andries van Dam September 7,
2004 Introduction 16/56
New Forms of Computing1990-2004
(4/7)
Blood flow through an arterial bypass graft
Use feet for navigation, freeing hands for other
uses
17
Andries van Dam September 7,
2004 Introduction 17/56
New Forms of Computing1990-2004
(5/7)
  • semi-immersive VR

Fishtank VR on a monitor
Barco, Immersadesk
GMDs Responsive workbench
Elumens VisionStation
18
Andries van Dam September 7,
2004 Introduction 18/56
New Forms of Computing1990-2004
(6/7)
  • augmented VR(via video see-through optics)

Video or optics superimposes computer-generated
data on real world (e.g., Columbias MARS, led by
our Ph.D., Steve Feiner)
19
Andries van Dam September 7,
2004 Introduction 19/56
New Forms of Computing1990-2004
(7/7)
  • New Interaction technology
  • Inexpensive interaction devices from research lab
    into marketplace
  • makes 2D and 3D graphics no longer special
  • 3D (even time-varying, 4D) interactive
    illustrations as clip art/clip models coming
  • Kids using computer graphics in gaming consoles
    VR games and rides (e.g. Aladdin, Pirates of the
    Caribbean, LBEs) with HMD and force-feedback
    input devices
  • New forms of user-interface (UI Lecture)
  • 3D Widgets gestures-based UI (Browns Sketch)
    VR demands new interaction technology
  • Social interfaces (Microsofts Bob bombed, other
    avatars may not)
  • Agents for indirect control

20
Andries van Dam September 7,
2004 Introduction 20/56
Powerful, Inexpensive Processing
  • Chips are Key in graphics subsystems
  • Advances driven by Moores Law
  • price/performance improves 2x every 18 months due
    to doubling of number of transistors
  • only exponential in technology except growth of
    WWW
  • CPU
  • 64-bit computing enters the mainstream
  • Server Intel Itanium, AMD Opteron
  • Consumer IBM G5, AMD Athlon64
  • AMD Athlon XP
  • Intel Pentium 4
  • Sun UltraSPARC IV
  • Graphics subsystems
  • Commodity cards have taken over the mainstream
    market (nVidia GeForce, ATI Radeon)

21
Andries van Dam September 7,
2004 Introduction 21/56
Chip Technology Advances in
Games Commodity Graphics
Cards
  • New game platforms and set-top boxes use high-end
    processors (128-bit architectures, great graphics
    capabilities)
  • Nintendo GameCube (powered by ATI)
  • Sony Playstation 2
  • Microsoft Xbox (powered by nVidia)
  • nVidia GeForce 6800 Ultra and ATI Radeon X800
    XT are the top graphics cards (approx. 400 -
    500)
  • Significant advances in commodity graphics chips
    every 6 months, outrunning CPU chip advances
  • Intels newest Pentium 4 chip (Prescott) has 125
    million transistors, compared with only 55
    million in a previous Pentium 4 (Northwood)
  • GeForce 6800 chip (NV40) has 222 million!
  • GPUs are now arguably more powerful than CPUs and
    programmable ? CPU OS losing their hegemony as
    the GPU co-processor becomes the tail to wag the
    CPU dog!
  • Workstation market (and vendors) bowing to
    commoditization (e.g., Suns losing client market)

22
Andries van Dam September 7,
2004 Introduction 22/56
Application Distinctions
  • Two basic paradigms
  • Sample-based graphics discrete samples are used
    to describe visual information
  • pixels can be created by digitizing images, using
    a sample-based painting program, etc.
  • often some aspect of the physical world is
    sampled for visualization, e.g., temperature
    across the US
  • example programs Adobe Photoshop, GIMP , Adobe
    AfterEffects (it came out of CS123/CS224!)
  • Geometry-based graphics a geometrical model is
    created, along with various attributes, and is
    then sampled for visualization (this process is
    called rendering)
  • often some aspect of the physical world is
    visually simulated, or synthesized
  • example 2D vector graphics Adobe Illustrator,
    Macromedia Freehand, Corel CorelDRAW !
  • example 3D programs AliasWavefronts Maya,
    Autodesks AutoCAD2005, Discreets 3D StudioMax

23
Andries van Dam September 7,
2004 Introduction 23/56
Sampled-based Graphics (1/2)
  • Images are made up of a grid of discrete pixels
    for 2D picture elements

light intensity
1 pixel
  • Pixels are point locations with associated sample
    values, usually of light intensities/colors,
    transparency, and other control information. They
    are not little circles or little squares, as
    well see.

24
Andries van Dam September 7,
2004 Introduction 24/56
Sample-based Graphics (2/2)
  • Samples created directly in paint-type program,
    or as a sampling of continuous (analog) visual
    materials. E.g., a photograph can be sampled
    (light intensity/color measured at regular
    intervals) with many devices including
  • flatbed and drum scanners
  • digital still and motion (video) cameras
  • add-on boards such as frame grabbers
  • Sample values can also be input numerically
    (e.g., with numbers from a computed dataset)
  • Once an image is defined as a pixel-array, it can
    be manipulated
  • Image editing changes made by user, such as
    cutting and pasting sections, brush-type tools,
    and processing selected areas.
  • Image processing algorithmic operations that are
    performed on an image (or pre-selected portion of
    an image) without user intervention. Includes
    blurring, sharpening, edge-detection, color
    balancing, rotating, and warping. A
    pre-processing step in computer vision.

25
Andries van Dam September 7,
2004 Introduction 25/56
Sampling an Image
  • Lets do some sampling of the CIT building
  • A color value is measured at every grid point and
    used to color a corresponding grid square
  • Note this poor sampling and image reconstruction
    method creates a blocky image

The 3D scene
0 white 5 gray 10 black
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Andries van Dam September 7,
2004 Introduction 26/56
Whats the Advantage?
  • Once image is defined in terms of colors at (x,
    y) locations on grid, can change image easily by
    altering location or color values
  • E.g., if we reverse our mapping above and make 10
    white and 0 black, the image would look like
    this
  • Pixel information from one image can be copied
    and pasted into another, replacing or combining
    with previously stored pixels

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Andries van Dam September 7,
2004 Introduction 27/56
Whats the Disadvantage
  • WYSIAYG (What You See Is All You Get) There is
    no additional information
  • no depth information
  • cant examine scene from a different point of
    view
  • at most can play with the individual pixels or
    groups of pixels to change colors, enhance
    contrast, find edges, etc.
  • But recently, strong interest in image-based
    rendering to fake 3D scenes and arbitrary camera
    positions. New images constructed by
    interpolation, composition, warping and other
    operations.

Capture of Hair Geometry from Multiple Images,
Siggraph 2004
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Andries van Dam September 7,
2004 Introduction 28/56
Examples of 2D Image
Manipulation (1/3)
  • There are many things one can do with sampled
    images uses of computer imaging range from
    military applications to entertainment, medicine,
    art, and design.
  • The news digitally enhanced images are more
    and more common. Usually just sharpening, color
    balancing, but sometimes a lot more. To
    Photoshop something in
  • National Geographics Pyramid cover
  • TV Guides Oprah cover
  • Time Magazines O.J. Simpson cover
  • University of Wisconsin application

29
Andries van Dam September 7,
2004 Introduction 29/56
Examples of 2D Image
Manipulation (2/3)
  • People can now mutate into other people or
    objects through morphing, and can carry on
    conversations in different times and places
  • Interactive Digital Photomontage, Siggraph 2004
  • The belief in a very strong connection between
    photorealistic images, still or moving, and
    reality is being severed

30
Andries van Dam September 7,
2004 Introduction 30/56
Examples of 2D Image
Manipulation (3/3)
  • In artwork the processes and techniques of
    photography and painting are merging in the art
    of digital imaging
  • Michele Turre the artist, her daughter, and her
    mother, all at 3 years of age
  • CS123 emphasizes geometry-based graphics but we
    do two assignments on sample-based graphics to
    learn simple image processing.
  • image processing in general includes image
    transformation, and is used for feature
    detection, pattern recognition, and
    machine/computer vision, and most recently, for
    image-based rendering

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Andries van Dam September 7,
2004 Introduction 31/56
Geometry-Based Graphics
  • Geometry-based graphics applications store
    mathematical descriptions, or models, of
    geometric elements (lines, polygons,
    polyhedrons) and their associated attributes
    (e.g., color, material properties). These
    elements are primitive geometric shapes,
    primitives for short.
  • Images are created as pixel arrays (via sampling
    of the geometry) for viewing, but are not stored
    as part of the model. Images of many different
    views can be generated from the same model.
  • One cannot usually work directly with the
    individual pixels in a geometry-based program
    one manipulates the geometric elements, then they
    are resampled and redisplayed.
  • Increasingly rendering combines geometric and
    sample-based graphics, both as a performance hack
    and to increase quality of the final product

32
Andries van Dam September 7,
2004 Introduction 32/56
What is Geometric Modeling?
  • What is a model?
  • Captures the salient features (data, behavior) of
    the thing/phenomenon being modeled
  • data includes geometry, appearance attributes
  • note similarity to OOP notions
  • Real some geometry inherent
  • physical (e.g., actual object such as a pump)
  • non-physical (e.g., mathematical function,
    weather data)
  • Abstract no inherent geometry, but for
    visualization
  • organizational (e.g., company org. chart)
  • quantitative (e.g., graph of stock market)
  • Modeling is coping with complexity
  • Our focus modeling and viewing simple everyday
    objects
  • Consider this
  • Through 3D computer graphics, for the first time
    in human history we have abstract, easily
    changeable 3D forms. This has revolutionized the
    working process of many fields science,
    engineering, industrial design, architecture,
    commerce, entertainment, etc. This has profound
    implications for visual thinking and visual
    literacy.

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2004 Introduction 33/56
Lecture Topics
  • Primitive shapes are manipulated with geometric
    transformations (translation, rotation, scale).
    These transformations are essential for model
    organization, the process of composing complex
    objects from simpler components.
  • Hierarchical models and the same geometric
    transformations are also essential for animation.
  • Once objects geometry is established, must be
    viewed on a screen. Must map from 3D to 2D for
    viewing and from 2D to 3D for 2D input devices
    (e.g., the mouse or pen/stylus).
  • In the process of mapping from 3D to 2D, object
    (surface) material properties and lighting
    effects are used in rendering ones
    constructions. The rendering process is also
    called image synthesis.

34
Andries van Dam September 7,
2004 Introduction 34/56
Decomposition of a Geometric
Model
  • Divide and Conquer
  • Hierarchy of geometrical components
  • Reduction to primitives (e.g., spheres, cubes,
    etc.)
  • Simple vs. not-so-simple elements (nail vs. screw)

Head
Shaft
Point
composition
decomposition
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Andries van Dam September 7,
2004 Introduction 35/56
Hierarchical (Tree) Diagram of Nail
  • The object to be modeled is (visually) analyzed,
    and then decomposed into collections of primitive
    shapes.
  • The tree diagram provides a visual method of
    expressing the composed of relationships of the
    model.
  • Such diagrams are part of 3D program interfaces
    (e.g., 3D Studio MAX, Maya).
  • As a pointer data structure to be rendered, it is
    called a scenegraph

root node
Nail
Head (cylinder)
Body
Shaft (cylinder)
Point (cone)
leaf nodes
tree diagram
36
Andries van Dam September 7,
2004 Introduction 36/56
Composition of a Geometric
Model
Translate
Translate and Scale
Translate and Rotate
Primitives in their own modeling coordinate system
Composition in the world (root) coordinate system
  • The primitives created in the decomposition
    process must be assembled to create the final
    object. This is done with affine
    transformations, T, R, S (as in the example
    above).
  • Other composition operators will be very briefly
    discussed later (e.g., Constructive Solid
    Geometry (CSG) with Boolean operators).

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Andries van Dam September 7,
2004 Introduction 37/56
What Kind of Math do We Need?
  • Cartesian Coordinates
  • Typically modeling space is floating point,
    screen space is integer
  • x, y Cartesian grid
    Integer Grid
  • NBOften, screen coordinates are measured top to
    bottom, based on raster scan
  • (0,0)

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2004 Introduction 38/56
Example 3D Primitives
Polyhedron
Polyline
Patch
Sphere
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Andries van Dam September 7,
2004 Introduction 39/56
Conceptual Framework for
Interactive Graphics
  • Graphics library/package (e.g., OpenGL, DirectX
    ) is intermediary between application and the
    display hardware (Graphics System)
  • Application program maps application objects to
    views (images) of those objects by calling on
    graphics library
  • User interaction results in modification of model
    and/or image
  • Images are usually means to an end synthesis,
    design, manufacturing, visualization,
  • This hardware and software framework is nearly 4
    decades old but is still useful, indeed dominant

Graphics Library (GL)
Application model
Application program
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2004 Introduction 40/56
Graphics Library
  • Primitives
  • Attributes
  • color
  • line style
  • material properties for 3D
  • Lights
  • Transformations
  • Immediate mode vs. retained mode
  • immediate mode no stored representation, package
    holds only attribute state, and application must
    completely draw each frame
  • retained mode library compiles and displays from
    a scenegraph, a complex DAG

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Andries van Dam September 7,
2004 Introduction 41/56
2D Hardware/Algorithms Outline
  • Display Hardware Raster scan vs. random scan
  • Drawing primitives by scan conversion
  • lines
  • polygons
  • circles and ellipses
  • characters
  • attributes (color, line style, fill pattern)
  • Clipping to clip rectangle three methods
  • analytically compute intersections and draw
    clipped primitives
  • test each pixel and write only if inside
  • compute spans inside the primitive and fill
    entire span without testing
  • Color Table
  • indirect specification of (pseudo) color
  • color correction, simple types of animation
  • BitBlt/RasterOp for operating on blocks of pixels

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2004 Introduction 42/56
Graphics Display Hardware
  • Vector (calligraphic, stroke, random-scan)
  • still used in some plotters
  • Raster (TV, bitmap, pixmap), used in displays and
    laser printers

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2004 Introduction 43/56
Vector Architecture
  • Vector display works with a display list/file
    stored in refresh buffer
  • Display controller draws all vectors at lt 60 Hz
    (often at variable rate) flicker is a problem

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2004 Introduction 44/56
2D Raster Architecture
  • Raster display stores bitmap/pixmap in refresh
    buffer, also known as bitmap, frame buffer can
    be in separate hardware (VRAM) or in CPUs main
    memory (DRAM)
  • Video controller draws all scan-lines at
    consistent

45
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2004 Introduction 45/56
Drawing Lines
  • For horizontal, vertical and diagonal lines all
    pixels lie on the ideal line special case
  • For lines at arbitrary angle, pick pixels closest
    to the ideal line (Bresenhams midpoint scan
    conversion algorithm)
  • For thick lines, use multiple pixels in each
    column or fill a rotated rectangle
  • Sampling a continuous line on a discrete grid
    introduces sampling errors the jaggies

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2004 Introduction 46/56
Drawing Filled Polygons
  • Find intersection of scanline with polygon edges
  • Sort intersections by increasing x
  • Fill the polygon between pairs of intersections
    (spans)

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2004 Introduction 47/56
Drawing Circles and Ellipses
circle outline
filled ellipse
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2004 Introduction 48/56
Thickness Attribute
  • Thick circle drawing by tracing a rectangular pen
  • Treat such primitives as regions and fill them,
    e.g., approximate them as sequences of connected
    quadrilaterals

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2004 Introduction 49/56
Drawing Characters (1/2)
  • For characters defined by small bitmap
  • selectively write pixels of refresh buffer
    corresponding to true bits of character bitmap
  • Transparent mode dont write 0s BitBlt with
    OR
  • Opaque mode write background color for 0s
  • Descenders proportional spacing easily
    accommodated

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2004 Introduction 50/56
Drawing Characters (2/2)
  • Outline fonts defined in terms of (mathematical)
    drawing primitives (lines, arcs, splines) and
    thus scalable, but more CPU intensive (e.g. Adobe
    PostScript, Microsoft TrueType)
  • Font design (typography is a highly skilled
    specialty, involving graphical and algorithmic
    design)

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2004 Introduction 51/56
1-bit Bilevel Display
  • Digital intensity value Digital to Analog
    Conversion (DAC) analog signal to drive
    electron beam
  • Black White (or any 2 colors, depending on the
    monitor phosphor color)
  • Original Mac resolution was 512x384 pixels, now
    from 640x480 up to 1280x1024, even 3Kx3K in IBMs
    Roentgen display. Our PCs are 1280x1024
  • 1280x1024 memory 15 nanosec/pixel gt 32 pixel
    chunks stored in shift registers/buffers

Set or
X address
Address
increment
Raster scan generator
Frame buffer
Set or
Y address
Address
decrement
Deflection
Pixel value
Intensity
DAC
Data
Video Controller
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2004 Introduction 52/56
n-Bit Display
  • 2n intensities or colors 1 (grayscale) or 3
    (color) DACs guns

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2004 Introduction 53/56
Image Display System
Look-up Table
  • Any specific 2n colors may be inadequate (n
    typically 16-24 in low-end systems)
  • Look-up table allows 2n colors out of 224 colors
    to be used in one image, some other 2n in another
    image
  • 224 approx. 16.7 million, exceeds eyes ability
    to discriminate (somewhere between 7-10 million)
  • Color table is a resource managed (usually) by
    window manager

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2004 Introduction 54/56
Color Look Up Table Operation
  • Pixel value is indexed to color look up table
    (CLUT) where color is stored. Here we use only
    12 bits (4bits per color) for clarity
    typically, 24bits are used
  • CLUT look up done at video rates, overlapped with
    fetch and DAC!
  • In 24-bit true color systems, 3 x 8 bits for R,
    G, B each color has its own 8-bit CLUT (0-255)
  • CLUT allows variety of effects
  • pseudo coloring (LandSat images, stress diagrams,
    thermograms)
  • fast image changes change table rather than
    stored image
  • multiple images select or composite/blend
  • animation hack

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Andries van Dam September 7,
2004 Introduction 55/56
BitBlt/RasterOp (1/2)
  • Logically operate on each pixel in rectangular
    source and destination regions in same or
    different pixmaps to achieve dynamics, e.g., to
    move/scroll windows on screen
  • RasterOp (Source, Destination) g Destination
  • In some implementations either S or D may be
    masked, and need not be same size

pixmap
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Andries van Dam September 7,
2004 Introduction 56/56
BitBlt/RasterOp (2/2)
  • Replace (S,D) S destructively replaces D, i.e.,
    is deleted and copied on top of D (also called
    Move) used for making opaque characters, icons,
    scroll
  • Copy (S,D) as above, but S is not deleted
  • OR (S,D) S is non-destructively added to D
    used for painting, transparent and kerned
    characters (where characters extend beyond their
    boxes) not as useful in n-bit systems
  • AND (S,D) S can mask out pixels in D
  • XOR (S,D) S selectively inverts D used in 1-bit
    systems for rubber-banding/dragging, cheap
    cursors
  • Note effects in color systems for all but
    replace may be weird

S XOR (S XOR D) D 0 W, 1 B
XOR
S D D
XOR
S D D
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