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Prof. Dr.Abbas H.Prof. Dr.Abbas H. HassinHassin AlasadiAlasadi
Email : abbashh2002@gmail.comEmail : abbashh2002@gmail.com
Lecture 2 Page 2Lecture 2 Page 2
Review of Lecture 1Review of Lecture 1
This lecture will cover:
 Colors of image.
 The human visual system
 Light and the electromagnetic spectrum
 Image representation
 Image sensing and acquisition
 Sampling, quantisation and resolution
Lecture 2 Page 3Lecture 2 Page 3
Review of Lecture 1Review of Lecture 1
An image is: a two-dimensional function f(x, y)
of intensity (gray or color) values, where x
and y are spatial (plane) coordinates.
The intensity or gray level of the image at
that point is the amplitude of (f) at any pair
of coordinates (x, y).
Pixel : is the term most widely used to denote
the elements of a digital image.
Lecture 2 Page 4Lecture 2 Page 4
Review of Lecture 1Review of Lecture 1
Image F(x,y)
Lecture 2 Page 5Lecture 2 Page 5
Image ColorImage Color
1. Binary Image (Black and White)
Black and White contains only one value (0 or 1).
2. Gray scale image
Gray image represent by black and white shades of
gray without apparent color or combination of
levels for example: (8-bit) gray image means total
(28
) levels form black to white, black =0 and
White = 255.
Lecture 2 Page 6Lecture 2 Page 6
Image ColorImage Color
3. Red, Green, and Blue)
 Images represented in the RGB color model
consist of three component images – one for each
primary color.
 When fed into a monitor these images are
combined to create a composite color image
 The number of bits used to represent each pixel is
referred to as the color depth.
 A 24-bit image is often referred to as a full-color
image as it allows (28
) 3
= 16,777,216 colors.
Lecture 2 Page 7Lecture 2 Page 7
Image ColorImage Color
4. Red, Green, and Blue, + “Alpha” or Opacity)
RGBA stands for Red, Green, and Blue Alpha.
Here “A” in this property name stands for
“Alpha”. This additional feature can be used to
specify an opacity value for any color.
Lecture 2 Page 8Lecture 2 Page 8
Image ColorImage Color
Black and whiteBlack and white
Grayscale RGB RGBA
Human Visual SystemHuman Visual System
 The best vision model we have!
 Knowledge of how images form in the eye can help
us with processing digital images
 We will take just a rapid tour of the human visual
system
Lecture 2 Page 9Lecture 2 Page 9
Structure Of The Human EyeStructure Of The Human Eye
The lens focuses light from objects onto the retina
The retina is covered with
light receptors called
cones (6-7 million) and
rods (75-150 million)
Cones are concentrated
around the fovea and are
very sensitive to colour
Rods are more spread out
and are sensitive to low levels of illumination
Lecture 2 Page 10Lecture 2 Page 10
Lecture 2 Page 11Lecture 2 Page 11
Image Formation In The EyeImage Formation In The Eye
Muscles within the eye can be used to change the
shape of the lens allowing us focus on objects that are
near or far away
An image is focused onto the retina causing rods and
cones to become excited which ultimately send signals
to the brain
Lecture 2 Page 12Lecture 2 Page 12
Brightness Adaptation & DiscriminationBrightness Adaptation & Discrimination
The human visual system can perceive approximately
1010
different light intensity levels
However, at any one time we can only discriminate
between a much smaller number – brightness
adaptation
Similarly, the perceived intensity of a region is related
to the light intensities of the regions surrounding it
Lecture 2 Page 13Lecture 2 Page 13
Brightness Adaptation & DiscriminationBrightness Adaptation & Discrimination
An example of Mach bands
Lecture 2 Page 14Lecture 2 Page 14
Light And The Electromagnetic SpectrumLight And The Electromagnetic Spectrum
Light is just a particular part of the electromagnetic
spectrum that can be sensed by the human eye
The electromagnetic spectrum is split up according to
the wavelengths of different forms of energy
Lecture 2 Page 15Lecture 2 Page 15
Reflected LightReflected Light
The colours that we perceive are determined by the
nature of the light reflected from an object
For example, if white
light is shone onto a
green object most
wavelengths are
absorbed, while green
light is reflected from
the object
Lecture 2 Page 16Lecture 2 Page 16
Images fromDifferent EMRadiationImages fromDifferent EMRadiation
1. Radar imaging (radio waves)
2. Magnetic Resonance Imaging (MRI) (Radio waves)
3. Microwave imaging
4. Infrared imaging
5. Photographs
6. Ultraviolet imaging telescopes
7. X rays and Computed tomography‐
8. Positron emission tomography (gamma rays)
9. Ultrasound (not EM waves)
Lecture 2 Page 17Lecture 2 Page 17
Image File FormatsImage File Formats
There are Hundreds of image file formats some of them as
following:
1.Tagged Image File Format (TIFF):is lossless which is
considered the highest quality format for commercial work.
2.Graphics Interchange Format (GIF):was designed by
CompuServe (CompuServe: was the first major
commercial online service in the United States) in the
early days of computer 8-bit video, before JPG, for video
display at dial up modem speeds.
Lecture 2 Page 18Lecture 2 Page 18
Image File FormatsImage File Formats
There are Hundreds of image file formats some of them as
following:
3.Portable Network Graphics (PNG): can replace GIF today
(web browsers show both), and PNG also offers many options of
TIF too (indexed or RGB, 1 to 48-bits, etc).
4.Joint Photographic Experts Group (JPEG): is the most used
image file format. Digital cameras and web pages normally use
JPG files
5.Bitmap (BMP): is a raster graphics image file format used to
store bitmap digital images, independently of the display
device (such as a graphics adapter).
Digital Image Processing: Image Colors

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Digital Image Processing: Image Colors

  • 1. Prof. Dr.Abbas H.Prof. Dr.Abbas H. HassinHassin AlasadiAlasadi Email : abbashh2002@gmail.comEmail : abbashh2002@gmail.com
  • 2. Lecture 2 Page 2Lecture 2 Page 2 Review of Lecture 1Review of Lecture 1 This lecture will cover:  Colors of image.  The human visual system  Light and the electromagnetic spectrum  Image representation  Image sensing and acquisition  Sampling, quantisation and resolution
  • 3. Lecture 2 Page 3Lecture 2 Page 3 Review of Lecture 1Review of Lecture 1 An image is: a two-dimensional function f(x, y) of intensity (gray or color) values, where x and y are spatial (plane) coordinates. The intensity or gray level of the image at that point is the amplitude of (f) at any pair of coordinates (x, y). Pixel : is the term most widely used to denote the elements of a digital image.
  • 4. Lecture 2 Page 4Lecture 2 Page 4 Review of Lecture 1Review of Lecture 1 Image F(x,y)
  • 5. Lecture 2 Page 5Lecture 2 Page 5 Image ColorImage Color 1. Binary Image (Black and White) Black and White contains only one value (0 or 1). 2. Gray scale image Gray image represent by black and white shades of gray without apparent color or combination of levels for example: (8-bit) gray image means total (28 ) levels form black to white, black =0 and White = 255.
  • 6. Lecture 2 Page 6Lecture 2 Page 6 Image ColorImage Color 3. Red, Green, and Blue)  Images represented in the RGB color model consist of three component images – one for each primary color.  When fed into a monitor these images are combined to create a composite color image  The number of bits used to represent each pixel is referred to as the color depth.  A 24-bit image is often referred to as a full-color image as it allows (28 ) 3 = 16,777,216 colors.
  • 7. Lecture 2 Page 7Lecture 2 Page 7 Image ColorImage Color 4. Red, Green, and Blue, + “Alpha” or Opacity) RGBA stands for Red, Green, and Blue Alpha. Here “A” in this property name stands for “Alpha”. This additional feature can be used to specify an opacity value for any color.
  • 8. Lecture 2 Page 8Lecture 2 Page 8 Image ColorImage Color Black and whiteBlack and white Grayscale RGB RGBA
  • 9. Human Visual SystemHuman Visual System  The best vision model we have!  Knowledge of how images form in the eye can help us with processing digital images  We will take just a rapid tour of the human visual system Lecture 2 Page 9Lecture 2 Page 9
  • 10. Structure Of The Human EyeStructure Of The Human Eye The lens focuses light from objects onto the retina The retina is covered with light receptors called cones (6-7 million) and rods (75-150 million) Cones are concentrated around the fovea and are very sensitive to colour Rods are more spread out and are sensitive to low levels of illumination Lecture 2 Page 10Lecture 2 Page 10
  • 11. Lecture 2 Page 11Lecture 2 Page 11 Image Formation In The EyeImage Formation In The Eye Muscles within the eye can be used to change the shape of the lens allowing us focus on objects that are near or far away An image is focused onto the retina causing rods and cones to become excited which ultimately send signals to the brain
  • 12. Lecture 2 Page 12Lecture 2 Page 12 Brightness Adaptation & DiscriminationBrightness Adaptation & Discrimination The human visual system can perceive approximately 1010 different light intensity levels However, at any one time we can only discriminate between a much smaller number – brightness adaptation Similarly, the perceived intensity of a region is related to the light intensities of the regions surrounding it
  • 13. Lecture 2 Page 13Lecture 2 Page 13 Brightness Adaptation & DiscriminationBrightness Adaptation & Discrimination An example of Mach bands
  • 14. Lecture 2 Page 14Lecture 2 Page 14 Light And The Electromagnetic SpectrumLight And The Electromagnetic Spectrum Light is just a particular part of the electromagnetic spectrum that can be sensed by the human eye The electromagnetic spectrum is split up according to the wavelengths of different forms of energy
  • 15. Lecture 2 Page 15Lecture 2 Page 15 Reflected LightReflected Light The colours that we perceive are determined by the nature of the light reflected from an object For example, if white light is shone onto a green object most wavelengths are absorbed, while green light is reflected from the object
  • 16. Lecture 2 Page 16Lecture 2 Page 16 Images fromDifferent EMRadiationImages fromDifferent EMRadiation 1. Radar imaging (radio waves) 2. Magnetic Resonance Imaging (MRI) (Radio waves) 3. Microwave imaging 4. Infrared imaging 5. Photographs 6. Ultraviolet imaging telescopes 7. X rays and Computed tomography‐ 8. Positron emission tomography (gamma rays) 9. Ultrasound (not EM waves)
  • 17. Lecture 2 Page 17Lecture 2 Page 17 Image File FormatsImage File Formats There are Hundreds of image file formats some of them as following: 1.Tagged Image File Format (TIFF):is lossless which is considered the highest quality format for commercial work. 2.Graphics Interchange Format (GIF):was designed by CompuServe (CompuServe: was the first major commercial online service in the United States) in the early days of computer 8-bit video, before JPG, for video display at dial up modem speeds.
  • 18. Lecture 2 Page 18Lecture 2 Page 18 Image File FormatsImage File Formats There are Hundreds of image file formats some of them as following: 3.Portable Network Graphics (PNG): can replace GIF today (web browsers show both), and PNG also offers many options of TIF too (indexed or RGB, 1 to 48-bits, etc). 4.Joint Photographic Experts Group (JPEG): is the most used image file format. Digital cameras and web pages normally use JPG files 5.Bitmap (BMP): is a raster graphics image file format used to store bitmap digital images, independently of the display device (such as a graphics adapter).

Editor's Notes

  1. Cornea and sclera keep everything in! The choroid contains all of the blood vessels that serve as nutrition to the eye The iris contains the pigment that gives our eyes their colour Rods for general vison cones for details Blind spot is where the optic nerve connects BLIND SPOT EXPERIMENT Women have extra cones which means they can see more colours