Images: Pixels and Resolution Monica A. Stoica, Boston University Books used: “The Essential Guide to Computing” by E. Garrison Walters.

Slides:



Advertisements
Similar presentations
Pixels and Digital Images Yrd. Doc. Dr. Ahmet Sayar Kocaeli Universitesi Bilgisayar Muhendisligi Ileri Bilgisayar Grafikleri.
Advertisements

MULTIMEDIA TUTORIAL-II SHASHI BHUSHAN SOCIS, IGNOU.
Digital Color 24-bit Color Indexed Color Image file compression
Book Scanning & Digital Image Production The VRC Guide to Imaging By Kate Stepp.
Digital Imaging and Image Analysis
The eyes have three different kinds of color receptors; One kind is most sensitive to short wavelengths, one to middle wavelengths, and one to long wavelengths.
Color Mixing There are two ways to control how much red, green, and blue light reaches the eye: “Additive Mixing” Starting with black, the right amount.
Bits are Not just for Numbers or Characters Computers store characters as bits or binary digits. Characters from the English-language keyboard can be represented.
Bits are Not just for Numbers Computers store characters as bits or binary digits. Characters from the English-language keyboard are represented in ASCII.
IAT 3551 Computer Graphics Overview Color Displays Drawing Pipeline.
2.01 Understand Digital Raster Graphics
March 2006Taner Erig - EMU2-1 Metamorphosis of Information How is information represented and how do computers store information?
1 Additive Colour Mixing using a Computer Monitor You will use: a Liquid Crystal Display (LCD) or Cathode Ray Tube (CRT) Computer Monitor, this PowerPoint.
1 Internet Graphics. 2 Representing Images  Raster Image: Images consist of “dots” of color, not lines  Pixel: Picture element-tiny rectangle  Resolution:
Light and Color.
Visual Representation of Information
IE433 CAD/CAM Computer Aided Design and Computer Aided Manufacturing Part-2 CAD Systems Industrial Engineering Department King Saud University.
How do we perceive colour? How do colours add?. What is colour? Light comes in many “colours”. Light is an electromagnetic wave. Each “colour” is created.
Chapter 2 Data Representation. Define data types. Visualize how data are stored inside a computer. Understand the differences between text, numbers, images,
CS 1308 Computer Literacy and the Internet. Creating Digital Pictures  A traditional photograph is an analog representation of an image.  Digitizing.
Fundamentals of Photoshop
Lecture 03 Fasih ur Rehman
Technology and digital images. Objectives Describe how the characteristics and behaviors of white light allow us to see colored objects. Describe the.
CMYK vs. RGB Design. Primary colors The colors that make up the base for every other color created. Depending on whether you are looking at it from science,
Co mputer Graphics Researched via: Student Name: Nathalie Gresseau Date:12/O7/1O.
Welcome Topic: Pixels A.M.Meshkatur Rahman Class: vii Roll: 07.
Objective Understand concepts used to create digital graphics. Course Weight : 15% Part Three : Concepts of Digital Graphics.
Digital Terminology. Bitmap A representation consisting of rows and columns of dots of a graphic image stored in computer memory. To display a bitmap.
Lecture No. 3.  Screen resolution  Color  Blank space between the pixels  Intentional image degradation  Brightness  Contrast  Refresh rate  Sensitivity.
Video Monitor Uses raster scanning to display images –Beam of electrons illuminates phosphorus dots on the screen called pixels. Starting at the top of.
Chapter 2 Getting Started: Drawing Figures. The Framebuffer Lecture 2 Fri, Aug 29, 2003.
1 Perception, Illusion and VR HNRS 299, Spring 2008 Lecture 14 Introduction to Computer Graphics.
Foundations of Web Design I Photoshop CS5 Michael Daniel
IT-101 Section 001 Lecture #7 Introduction to Information Technology.
© 1999 Rochester Institute of Technology Introduction to Digital Imaging.
Nov 061 Size Control How is a component’s size determined during layout and during resize operations? Three factors determine component sizes: The component’s.
UNIT EIGHT: Waves Chapter 24 Waves and Sound Chapter 25 Light and Optics.
Color and Resolution Introduction to Digital Imaging.
Agenda Last class: Memory, Digitizing Numbers Today: Digitizing: Text
Computer Graphics An Introduction Jimmy Lam The Hong Kong Polytechnic University.
DIGITAL IMAGE. Basic Image Concepts An image is a spatial representation of an object An image can be thought of as a function with resulting values of.
Beam Penetration & Shadow Mask Method
Color Web Design Professor Frank. Color Displays Based on cathode ray tubes (CRTs) or back- lighted flat-screen Monitors transmit light - displays use.
Digital Video Digital video is basically a sequence of digital images  Processing of digital video has much in common with digital image processing First.
Computer Fundamentals MSCH 233 Lecture 5. The Monitor A Monitor is a video screen that looks like a TV. It displays both the input data and instructions,
Data Representation. What is data? Data is information that has been translated into a form that is more convenient to process As information take different.
The Science of Color The How and Why of Color. Color Basics Sir Isaac Newton discovered that white light breaks into a rainbow of colors in 1666 by passing.
Digital Graphics Vocabulary Texas State University CI5363 Florence Yang.
Week 9 Monitors and output to the screen. Monitors, also known as Visual display units (V.D.Us) Desktop computers contain a Cathode Ray Tube (C.R.T.)
Chapter 3 Color Objectives Identify the color systems and resolution Clarify category of colors.
Warm Up Where does all light come from? Do different colors of light have different intensities? If so, what color has the greatest intensity? When two.
Graphics Basic Concepts 1.  A graphic is an image or visual representation of an object.  A visual representation such as a photo, illustration or diagram.
COMP LIT FALL SEMESTER OUTPUT UNIT GET OUT YOUR NOTEBOOKS AND PENS! NO SLEEPING, NO EATING, NO TALKING! LISTEN, LOOK, AND THINK. TAKE NOTES & ASK QUESTIONS.
DISPLAY DEVICES CIS 10, Group #1 April 01, 2006 C. X. A. L. K. H. A. V. ((( L. C.
Computer Graphics: An Introduction
Images Data Representation.
Data Representation Images.
2.01 Understand Digital Raster Graphics
Binary Representation in Audio and Images
The Colour of Light: Additive colour theory.
Colour theory.
Images Presentation Name Course Name Unit # – Lesson #.# – Lesson Name
Color Combinations Design.
Colour Theories.
2.01 Understand Digital Raster Graphics
Chapter 2 Data Representation.
2.01 Understand Digital Raster Graphics
Images Presentation Name Course Name Unit # – Lesson #.# – Lesson Name
This lesson includes the following sections:
2.01 Understand Digital Raster Graphics
Presentation transcript:

Images: Pixels and Resolution Monica A. Stoica, Boston University Books used: “The Essential Guide to Computing” by E. Garrison Walters and “Information Technology Inside and Outside” by David Cyganski and John Orr

Pixels and Dots All monitors use a matrix of points to create an image – each of these points is called a picture element The number of dots in the matrix is not the actual number of elements needed to make an image, at least not a color one Color dots are actually built up from three separate sub-dots that represent the primary colors of red, green and blue (RGB). The three RGB dots together make a dot triad or a pixel

Dots and Pixels A pixel is the smallest element of an image that can be managed by a computer’s graphics system However, sometimes the term pixel is used to describe the physical dots in the display’s matrix. In many cases these two coincide For example if we have a computer that has a maximum physical matrix of dots that is 800x600 (called SVGA) and the software is also using that matrix and is addressing information to each one of the 480,000 dots, then pixel and dot, or dot triad are the same thing.

Dot triads A discontinuity occurs when the computer is using fewer pixels then the maximum number of dots provided by the display So now there are multiple dots (dots triads) in a pixel. Reason for this happening are: The hardware or software can’t handle the larger matrix The user prefers the lower resolution

Color vs. Black and White Color dots are created from three sub-dots each responsible for one of the primary colors Red, Green, Blue (printers use actually cyan, magenta, and yellow) Making Black and White from RGB dot triads is easy: If all the sub-dots in a triad are on – white If all the sub-dots in a triad are off – black Red only is red, red+green is yellow, green+blue is cyan, red+blue is magenta If these were all the colors we could have, or there were no shades of green we could not depict nature which has dozens of green in grass alone

Memory and Pixels We can vary the intensity or brightness of each dot: thus, green at 1/3 power creates a light green; a combination of 1/3 power green and 1/3 power blue creates a light cyan, etc. Computers have to dedicate now more memory to each pixel In a Black and White display a pixels is either On or Off, so it requires only one bit per pixel in memory – a 1 for On and a 0 for Off With color there are now three sub-dots each of which requires more memory

RGB and Memory If you give each sub-pixel or sub-dot only one bit you get as many as 8 colors described above – mathematically this is 2 3 If you want 64 colors, you need 2 bits of memory per sub-pixel, 6 total or 2 6. Here are some standard levels of color: Color 256 – Bits 8 Color 65,536 – Bits 16 Color 16.7 million – Bits 24 For a variety of reasons related to color theory, bits do not have to be allocated equally within the dot triad, so 8 and 16 bits will work even If the numbers aren’t divisible by 3

RGB and RAM Using 16 million colors or 8 bits/sub-pixel gives true color. This means 24-bits per pixel and given a standard monitor with 768x1024 pixels, it means that 18,874,368 bits or 2.5 MB of RAM are required to be allocated just for the screen Computers for a long time could not support that – prices had to fall before high resolution, true color display systems were possible for our images.

Smoothness of Motion When first moving pictures were created photographers discovered that it was necessary to show at least 24 frames per sec When television appeared 50 years later, it employed a 30 frames per second, though it was based on electrical requirements rather than a desire to improve the image. Our retina retains some of the information with which it was stimulated for about 50 milliseconds, or one twentieth of a second – thus the average human visual system can only take 20 different images per second before they start to blur

Frame Rate and Refresh Rate Closely related to, but different from frame rate is refresh rate Although 24 frames per second is sufficient to show accurate motion in objects on a screen, displaying frames at this speed makes the screen itself look unstable to most viewers. This is called flicker. Refresh rate is related to viewing distance and content. Thus a viewer sitting close to a display and needing high resolution will be more comfortable with a high refresh rate. Monitors and TVs have a refresh rate of 60 or 80 Hz.

TV Animations If television would display at simply 30 frames per second, would suffer from a flash or a flicker phenomenon This phenomenon is addressed by presenting the images twice per frame in a sense. 60 times per second, every other line or raster is changed – each new image is painted onto the screen in a two – step process, first the odd rows, then the even ones – so that at every points on the screen things are locally changing at a a rate of 60 times per second This way we do not discern the choppiness we would see if the images were refreshed all at ones 30 times per second.

Adding Up the Bits Let’s assume a screen of 512x512, and we use 3 bits per sub-dot to a total of 9 bits per pixel – pretty modest. If we want the scene to change 60 times a second, so that we don’t see flickering or choppiness, we get: 512x512x9x60x3600seconds = 500 billion bits per second just for the video! The Godfather (3 hour movie) would require about 191 GB of memory This almost sounds like an offer we can refuse…if it were not for Compression

A Picture is worth 10,000 words 10,000 words at an average of 6 characters per word, and 8 bits per character for the ASCII representation, would require 480,000 bits = 60 KB. An image of 256 x 256 pixels, with 8 bits used for the gray level of each pixel, is 524,288 bits = 64 KB. So it seems that the writers of those old adages might have had more insight into information representation than one might first suspect :)