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.

Slides:



Advertisements
Similar presentations
CS Spring 2009 CS 414 – Multimedia Systems Design Lecture 4 – Digital Image Representation Klara Nahrstedt Spring 2009.
Advertisements

ECE 472/572 - Digital Image Processing Lecture 10 - Color Image Processing 10/25/11.
Fundamentals of Digital Imaging
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.
Multi-media Graphics JOUR 205 Color Models & Color Space 5 ways of specifying colors.
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.
Graphics File Formats. 2 Graphics Data n Vector data –Lines –Polygons –Curves n Bitmap data –Array of pixels –Numerical values corresponding to gray-
Images and colour Colour - colours - colour spaces - colour models Raster data - image representations - single and multi-band (multi-channel) images -
Image Representation.
2.01 Understand Digital Raster Graphics
CSc 461/561 CSc 461/561 Multimedia Systems Part A: 2. Image.
1 Perception. 2 “The consciousness or awareness of objects or other data through the medium of the senses.”
Color of (digital image) Raed S. Rasheed Agenda Color. Color Image. Color Models – RGB color model. – CMYK color model. – HSV and HSL color model.
School of Computer Science & Information Technology G6DPMM - Lecture 6 Colour Science & Colour Models.
CMYK Cyan Cyan Magenta Magenta Yellow Yellow Black Black.
Color Model AbdelRahman Abu_absah Teacher: Dr. Sana'a Alsayegh.
1 Internet Graphics. 2 Representing Images  Raster Image: Images consist of “dots” of color, not lines  Pixel: Picture element-tiny rectangle  Resolution:
Graphical images Bit-mapped (or raster-based) image: Matrix describing the individual dots that are the smallest elements (pixels) of resolution on a computer.
Visual Representation of Information
Colour Digital Multimedia, 2nd edition Nigel Chapman & Jenny Chapman
Digital Multimedia, 2nd edition Nigel Chapman & Jenny Chapman Chapter 6 This presentation © 2004, MacAvon Media Productions Colour.
2001 by Jim X. Chen: 1 The purpose of a color model is to allow convenient specification of colors within some color gamut.
Digital Images The digital representation of visual information.
Product Design Sketching Chromatic Theories. Color Spectrum The range of colors seen by human eye is the “visible color spectrum”
Computer Graphics Using “ Adobe Photoshop ” Introduction to E-Learning Center, DAD presents Workshop on Instructor: Mazhar.
Digital Images Chapter 8, Exploring the Digital Domain.
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.
I-1 Steps of Image Generation –Create a model of the objects –Create a model for the illumination of the objects –Create an image (render) the result I.
Colours and Computer Jimmy Lam The Hong Kong Polytechnic University.
Color. There are established models of color, each discipline uses it own method for describing and discussing color intelligently.
Images The Science of Images What is an Image on the computer? The Psychology of Images What do we use images for? What effect color has on our mood and.
CSC Computing with Images
Chap 4 Color image processing. Chapter 6 Color Image Processing Chapter 6 Color Image Processing Two major areas: full color and pseudo color 6.1 Color.
Image Representation. Digital Cameras Scanned Film & Photographs Digitized TV Signals Computer Graphics Radar & Sonar Medical Imaging Devices (X-Ray,
Which is the Pink Pen? Here is the Pink Pen (Example taken from
Computer Graphics An Introduction Jimmy Lam The Hong Kong Polytechnic University.
Lecture 7: Intro to Computer Graphics. Remember…… DIGITAL - Digital means discrete. DIGITAL - Digital means discrete. Digital representation is comprised.
Ch 6 Color Image processing CS446 Instructor: Nada ALZaben.
Digital Image Processing In The Name Of God Digital Image Processing Lecture6: Color Image Processing M. Ghelich Oghli By: M. Ghelich Oghli
Digital Imaging Fundamentals Ms. Hema C.R. School of Mechatronic Engineering.
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.
© UNT in partnership with TEA1 Advanced AV Production Color Theory.
CS 101 – Sept. 14 Review Huffman code Image representation –B/W and color schemes –File size issues.
Intro to Color Theory. Objectives Identify and discuss various color models including RGB, CMYK, Black/white and spot color. Investigate color mixing.
Digitization Informatics INFO I101 January 26, 2004 John C.Paolillo.
CS Spring 2010 CS 414 – Multimedia Systems Design Lecture 4 – Audio and Digital Image Representation Klara Nahrstedt Spring 2010.
© ExplorNet’s Centers for Quality Teaching and Learning 1 Objective % Understand concepts used to create digital graphics.
Computer Graphics: Achromatic and Coloured Light.
1 of 32 Computer Graphics Color. 2 of 32 Basics Of Color elements of color:
UNITS OF MEASUREMENT 2.01 Understand Digital Raster Graphics.
CS Spring 2014 CS 414 – Multimedia Systems Design Lecture 4 – Visual Perception and Digital Image Representation Klara Nahrstedt Spring 2014.
Color Models Light property Color models.
BITMAPPED IMAGES & VECTOR DRAWN GRAPHICS
ITEC2110, Digital Media Chapter 2 Fundamentals of Digital Imaging
Images Data Representation.
Half Toning Dithering RGB CMYK Models
2.01 Understand Digital Raster Graphics
Sampling, Quantization, Color Models & Indexed Color
Design Concepts: Module A: The Science of Color
Advanced AV Production
Chapter I Digital Imaging Fundamentals
COMS 161 Introduction to Computing
Computer Graphics Using “Adobe Photoshop”
Colour Theories.
2.01 Understand Digital Raster Graphics
2.01 Understand Digital Raster Graphics
Advanced AV Production
2.01 Understand Digital Raster Graphics
Presentation transcript:

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 the light intensity at each point over a planar region In computers, this function must be sampled at discrete intervals

Basic Image Concepts An image can be represented as a matrix of pixels Intensity at each pixel is represented by an integer (called a gray scale level) into which the color of the image is encoded If there are just 2 intensity values, 0 and 1 represent black and white (1 bit) If 8-bit integers, color levels range from 0 (black) to 255 (white)

Basic Image Concepts Spatial Resolution - number of pixels in the matrix (pixels X pixels). Affects amount of detail that can be displayed Image size - can be very large. E.g. 640X480 image with 8bits/pixel 307,200 8bit integers 2,457,600 bits

Basic Image Concepts Image Format - a stored image is an array of values Each value represents data associated with a pixel in the image For color, this value may be: 3 numbers - intensities of red, green and blue components of color at that pixel 3 numbers - indices to tables of RGB intensities 1 number - index to table of color triples 1 number - index to other color models, such as CMY, YIQ, HSB, etc

COLOURS Number of Colours 1 Bit per pixel = 2 Colours 4 Bit per pixel = 16 Colours 8 Bit per pixel = 256 Colours 16 Bit per pixel = Colours 24 Bit per pixel = 16.7 Million Colours Colour Resolution: No. of pixels at any given time on the screen

Colour Monitor Video Modes 640 x X x x 1200 Dot Pitch Actual difference between two pixels on the monitor. Refresh Rate: The speed with which every line is illuminated one after another and it is measured in Hz.

Color Fundamentals Commonly used color models RGB = Red, Green, Blue - additive primary colors (color monitors) CMY = Cyan, Magenta, Yellow - subtractive primary colors plus black (color printers)

Color Fundamentals Dithering Added to sample data for the purpose of minimizing quantization error a photo may contain millions of colors but an 8 bit color palette contains only 256 colors so a mapping must be done at each pixel to determine the “closest” available color in the palette a mathematical process

Colour Properties Hue distinguishes among colors such as red, green, and yellow. Saturation refers to how far color is from a gray of equal intensity. Lightness embodies the achromatic notion of perceived intensity of a reflecting object. Brightness is used instead of lightness for a self-luminous object such as CRT.

Types of Graphics Raster Graphics: Technique of dividing the entire image area into pixels or small dots, and record the image data. High storage required Difficult to process Vector Graphics Technique of storing the graphics using lines, arcs, circles or basic shapes and sizes. Less Storage Easy to Modify Difficult to represent the actual picture

Image Editing Resampling or Resizing Dithering Flipping Rotating Selection Masking Zooming Colour Correction Anti-aliasing

Images Filters Blur Pinch Punch Sketch Edge