SlideShare a Scribd company logo
RGB-COLOR MODEL
Submitted By
Mrs.R.CHINTHAMANI,
Assistant Professor,
Department of Computer Science
E.M.G.Yadava Women’s College,
Madurai-14.
LIGHT
 A Light is a narrow frequency band within the
electromagnetic spectrum
Spectrum of light:
 A few of the other frequency bands within this
spectrum are called radio waves, microwaves, infrared
waves, and X-rays.
 Each frequency value within the visible corresponds to
a distinct color.
The Electoromagnetic Spectrum
Red : 4.3×1014
hertz , violet: 7.5×1014
hertz
 Light is an electromagnetic wave. The various
colors in terms of either the frequency f or the
wavelength λ of the wave.
 The wavelength and frequency of the
monochromatic wave are inversely proportional to
each other with the proportionality constant as the
speed of light c:
c = λ𝑓
 Frequency is constanty for all materials, but the
speed of light and the wavelength are material
dependent .
 In vaccum, c=3×1010 cm/sec.
 Light wavelengths are very small, so length units
for designating spectral colors are usually either
angstroms(1Å= 10−8 cm)or nanometers (1 nm=
10−7cm).
 An equivalent term for nanometer is millimicron.
 since, wavelength units are more convenient to
deal with than frequency units, spectrual colors
are typically specified in terms of wavelength
 A light source such as the sun or a light bulb
emits all frequencies within the visible range to
produce white light.
 The combination of frequencies present in the
reflected light determines what we perceive as the color
of the object.
 If low frequencies are predominant in the reflected
light, the object is described as red. In this case, the
perceived light has a dominant frequency at the red end
of the spectrum.
 The dominant frequency is also called the hue or
simply the color of light.
 The characteristics of the dominant frequency are
brightness and purity are commonly used to describe
the different properties we perceive in a source of light ,
 Each frequency component within the range from
red to violet contributes more or less equality to
the total energy ,and the color of the source is
described as white.
 Energy distribution of a light source with a
dominant frequency near the red end of the
frequency range
 The two or three colors used to produce other colors
in such a color model are referred to as Primary colors.
 No finite set of real primary colors can be combined
to produce all possible visible colors.
 The amount of red, green, blue needed to produce an
spectral color. The curve plotted is called color-
matching functions, were obtained by averaging the
judgements of a large number of observes.
 Based on the tristimulus theory of vision, our eyes
perceive color through the stimulation of three
visual pigments in the cones of the retina.
 The visual pigments have a peak sensitivity
at wavelength of about 630nm(red),
530nm(green) and 450nm(blue) .
 By comparing intensities in a light
source,we perceive the color of the light.
 This theory of vision is the basis for
displaying color output on a video monitor
using the three color primaries, red, green,
blue referred to as the RGB model.
The RGB color models, defining colors with an additive process within the
unit cube.
 Vertices of the cube on the axes represent the
primary colors, and the remaining vertices
represent the complementary color for each of the
primary colors.
 The XYZ color system, the RGB color scheme is
an additive model.
 Intensities of the primary colors are added to
produce other colors.
 Each color point within the bounds of the cube
can be represented the triple(R,G,B), where values
for R,G,B are assigned in the range from 0 to
 A color Cλ expressed in RGB component as,
Cλ = RR+GG+BB
 The magenta vertex is obtained by adding red
and blue to produce the triple (1,0,1) and white at
(1,1,1)
is sum of the red, green, and blue vertices.
 Shades of gray are represented along the main
diagonal of the cube from the origin to the white
vertex .
 Each point along this diagonal has an equal
cotribution fro each primary color, so that a gray
shade halfway between black and white is
represented as (0.5,0.5,0.5).
The color gradutions along the front an top planes of the RGB cube
 Chromaticity coordinates for an NTSC standard
RGB chromaticity coordinates for the CIE RGB color
model and the approximate values used for
phosphors in color monitors.
NTSC Standard CIE model Approx. color
monitor values
R (0.670,0.330) (0.735,0.265) (0.628,0.346)
G (0.210,0.710) (0.274,0717) (0.268,0.588)
B (0.140,0.080) (0.167,0.009) (0.150,0.070)
 Also listed are the RGB chromaticity coordinates
for the CIE RGB color model and the approximate
values used for phosphors in color monitors.
Color Gamut:
 color gamut is defined as the range of colors
which a particular device can produce or record.
 Various standards govern color gamuts. The
three standards frequently cited in relation to
personal computers are sRGB, Adobe RGB and
NTSC.
 The color gamut defined by each standard
is depicted
 As a triangle on the xy chromaticity
diagram
END

More Related Content

Similar to PROPERTIES OF LIGHT by R.Chinthamani.pptx

Color image processing
Color image processingColor image processing
Color image processing
rmsurya
 
Color fundamentals and color models - Digital Image Processing
Color fundamentals and color models - Digital Image ProcessingColor fundamentals and color models - Digital Image Processing
Color fundamentals and color models - Digital Image Processing
Amna
 
06 color image processing
06 color image processing06 color image processing
06 color image processing
Jaiverdhan .
 
lecture3 color representation in computer graphics(Computer graphics tutorials)
lecture3 color representation in computer graphics(Computer graphics tutorials)lecture3 color representation in computer graphics(Computer graphics tutorials)
lecture3 color representation in computer graphics(Computer graphics tutorials)
Daroko blog(www.professionalbloggertricks.com)
 
Color models
Color modelsColor models
Color models
Moahmed Sweelam
 
Color Image Processing
Color Image ProcessingColor Image Processing
Color Image Processing
kiruthiammu
 
Colour models
Colour modelsColour models
Colour models
BCET
 
Colour vision
Colour visionColour vision
Colour vision
Anuraag Singh
 
3.12 c hromaticity diagram
3.12 c hromaticity diagram3.12 c hromaticity diagram
3.12 c hromaticity diagram
QC Labs
 
Colormodels
ColormodelsColormodels
Images
ImagesImages
Images
adil raja
 
Color theorykareemebrahim
Color theorykareemebrahimColor theorykareemebrahim
Color theorykareemebrahim
Kareem .
 
Color-in-Digital-Image-Processing.pptx
Color-in-Digital-Image-Processing.pptxColor-in-Digital-Image-Processing.pptx
Color-in-Digital-Image-Processing.pptx
EveCarolino
 
Lecnoninecolorspacemodelindigitalimageprocess
LecnoninecolorspacemodelindigitalimageprocessLecnoninecolorspacemodelindigitalimageprocess
Lecnoninecolorspacemodelindigitalimageprocess
IrsaAamir
 
Dip color image processing
Dip  color image processingDip  color image processing
Dip color image processing
Uma mohan
 
Lecture#10 Theory of Color.pptx
Lecture#10 Theory of Color.pptxLecture#10 Theory of Color.pptx
Lecture#10 Theory of Color.pptx
MahfuzurRahmanMafuz
 
Multiscale Gradient Based – Directional CFA Interpolation with Refinement
Multiscale Gradient Based – Directional CFA Interpolation with RefinementMultiscale Gradient Based – Directional CFA Interpolation with Refinement
Multiscale Gradient Based – Directional CFA Interpolation with Refinement
IJTET Journal
 
Color vison, Color Blindness and its Evaluation
Color vison, Color Blindness and its EvaluationColor vison, Color Blindness and its Evaluation
Color vison, Color Blindness and its Evaluation
Ankith Nair
 
Project report_DTRL_subrat
Project report_DTRL_subratProject report_DTRL_subrat
Project report_DTRL_subrat
Subrat Prasad
 
About Color
About ColorAbout Color
About Color
Naushad Thotad
 

Similar to PROPERTIES OF LIGHT by R.Chinthamani.pptx (20)

Color image processing
Color image processingColor image processing
Color image processing
 
Color fundamentals and color models - Digital Image Processing
Color fundamentals and color models - Digital Image ProcessingColor fundamentals and color models - Digital Image Processing
Color fundamentals and color models - Digital Image Processing
 
06 color image processing
06 color image processing06 color image processing
06 color image processing
 
lecture3 color representation in computer graphics(Computer graphics tutorials)
lecture3 color representation in computer graphics(Computer graphics tutorials)lecture3 color representation in computer graphics(Computer graphics tutorials)
lecture3 color representation in computer graphics(Computer graphics tutorials)
 
Color models
Color modelsColor models
Color models
 
Color Image Processing
Color Image ProcessingColor Image Processing
Color Image Processing
 
Colour models
Colour modelsColour models
Colour models
 
Colour vision
Colour visionColour vision
Colour vision
 
3.12 c hromaticity diagram
3.12 c hromaticity diagram3.12 c hromaticity diagram
3.12 c hromaticity diagram
 
Colormodels
ColormodelsColormodels
Colormodels
 
Images
ImagesImages
Images
 
Color theorykareemebrahim
Color theorykareemebrahimColor theorykareemebrahim
Color theorykareemebrahim
 
Color-in-Digital-Image-Processing.pptx
Color-in-Digital-Image-Processing.pptxColor-in-Digital-Image-Processing.pptx
Color-in-Digital-Image-Processing.pptx
 
Lecnoninecolorspacemodelindigitalimageprocess
LecnoninecolorspacemodelindigitalimageprocessLecnoninecolorspacemodelindigitalimageprocess
Lecnoninecolorspacemodelindigitalimageprocess
 
Dip color image processing
Dip  color image processingDip  color image processing
Dip color image processing
 
Lecture#10 Theory of Color.pptx
Lecture#10 Theory of Color.pptxLecture#10 Theory of Color.pptx
Lecture#10 Theory of Color.pptx
 
Multiscale Gradient Based – Directional CFA Interpolation with Refinement
Multiscale Gradient Based – Directional CFA Interpolation with RefinementMultiscale Gradient Based – Directional CFA Interpolation with Refinement
Multiscale Gradient Based – Directional CFA Interpolation with Refinement
 
Color vison, Color Blindness and its Evaluation
Color vison, Color Blindness and its EvaluationColor vison, Color Blindness and its Evaluation
Color vison, Color Blindness and its Evaluation
 
Project report_DTRL_subrat
Project report_DTRL_subratProject report_DTRL_subrat
Project report_DTRL_subrat
 
About Color
About ColorAbout Color
About Color
 

More from SindhuVelmukull

Web input forms.pptx
Web input forms.pptxWeb input forms.pptx
Web input forms.pptx
SindhuVelmukull
 
Web protocol.pptx
Web protocol.pptxWeb protocol.pptx
Web protocol.pptx
SindhuVelmukull
 
Web technology.pptx
Web technology.pptxWeb technology.pptx
Web technology.pptx
SindhuVelmukull
 
YIQ by R.Chinthamani.pptx
YIQ by R.Chinthamani.pptxYIQ by R.Chinthamani.pptx
YIQ by R.Chinthamani.pptx
SindhuVelmukull
 
Overview of CG by R.Chinthamani.pptx
Overview of CG by R.Chinthamani.pptxOverview of CG by R.Chinthamani.pptx
Overview of CG by R.Chinthamani.pptx
SindhuVelmukull
 
Bundled Attributes by R.Chinthamani.pptx
Bundled Attributes by R.Chinthamani.pptxBundled Attributes by R.Chinthamani.pptx
Bundled Attributes by R.Chinthamani.pptx
SindhuVelmukull
 
RGB Color.pptx
RGB Color.pptxRGB Color.pptx
RGB Color.pptx
SindhuVelmukull
 
Projection.pptx
Projection.pptxProjection.pptx
Projection.pptx
SindhuVelmukull
 
Jsp
JspJsp
c++
 c++  c++
Introduction to artificial intelligence
Introduction to artificial intelligenceIntroduction to artificial intelligence
Introduction to artificial intelligence
SindhuVelmukull
 
COMPUTER NETWORK
COMPUTER NETWORKCOMPUTER NETWORK
COMPUTER NETWORK
SindhuVelmukull
 

More from SindhuVelmukull (12)

Web input forms.pptx
Web input forms.pptxWeb input forms.pptx
Web input forms.pptx
 
Web protocol.pptx
Web protocol.pptxWeb protocol.pptx
Web protocol.pptx
 
Web technology.pptx
Web technology.pptxWeb technology.pptx
Web technology.pptx
 
YIQ by R.Chinthamani.pptx
YIQ by R.Chinthamani.pptxYIQ by R.Chinthamani.pptx
YIQ by R.Chinthamani.pptx
 
Overview of CG by R.Chinthamani.pptx
Overview of CG by R.Chinthamani.pptxOverview of CG by R.Chinthamani.pptx
Overview of CG by R.Chinthamani.pptx
 
Bundled Attributes by R.Chinthamani.pptx
Bundled Attributes by R.Chinthamani.pptxBundled Attributes by R.Chinthamani.pptx
Bundled Attributes by R.Chinthamani.pptx
 
RGB Color.pptx
RGB Color.pptxRGB Color.pptx
RGB Color.pptx
 
Projection.pptx
Projection.pptxProjection.pptx
Projection.pptx
 
Jsp
JspJsp
Jsp
 
c++
 c++  c++
c++
 
Introduction to artificial intelligence
Introduction to artificial intelligenceIntroduction to artificial intelligence
Introduction to artificial intelligence
 
COMPUTER NETWORK
COMPUTER NETWORKCOMPUTER NETWORK
COMPUTER NETWORK
 

Recently uploaded

Cognitive Development Adolescence Psychology
Cognitive Development Adolescence PsychologyCognitive Development Adolescence Psychology
Cognitive Development Adolescence Psychology
paigestewart1632
 
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
National Information Standards Organization (NISO)
 
South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)
Academy of Science of South Africa
 
How to Setup Warehouse & Location in Odoo 17 Inventory
How to Setup Warehouse & Location in Odoo 17 InventoryHow to Setup Warehouse & Location in Odoo 17 Inventory
How to Setup Warehouse & Location in Odoo 17 Inventory
Celine George
 
How to Add Chatter in the odoo 17 ERP Module
How to Add Chatter in the odoo 17 ERP ModuleHow to Add Chatter in the odoo 17 ERP Module
How to Add Chatter in the odoo 17 ERP Module
Celine George
 
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama UniversityNatural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Akanksha trivedi rama nursing college kanpur.
 
writing about opinions about Australia the movie
writing about opinions about Australia the moviewriting about opinions about Australia the movie
writing about opinions about Australia the movie
Nicholas Montgomery
 
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPLAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
RAHUL
 
Life upper-Intermediate B2 Workbook for student
Life upper-Intermediate B2 Workbook for studentLife upper-Intermediate B2 Workbook for student
Life upper-Intermediate B2 Workbook for student
NgcHiNguyn25
 
Liberal Approach to the Study of Indian Politics.pdf
Liberal Approach to the Study of Indian Politics.pdfLiberal Approach to the Study of Indian Politics.pdf
Liberal Approach to the Study of Indian Politics.pdf
WaniBasim
 
How to Make a Field Mandatory in Odoo 17
How to Make a Field Mandatory in Odoo 17How to Make a Field Mandatory in Odoo 17
How to Make a Field Mandatory in Odoo 17
Celine George
 
The Diamonds of 2023-2024 in the IGRA collection
The Diamonds of 2023-2024 in the IGRA collectionThe Diamonds of 2023-2024 in the IGRA collection
The Diamonds of 2023-2024 in the IGRA collection
Israel Genealogy Research Association
 
MARY JANE WILSON, A “BOA MÃE” .
MARY JANE WILSON, A “BOA MÃE”           .MARY JANE WILSON, A “BOA MÃE”           .
MARY JANE WILSON, A “BOA MÃE” .
Colégio Santa Teresinha
 
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat  Leveraging AI for Diversity, Equity, and InclusionExecutive Directors Chat  Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
TechSoup
 
Digital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments UnitDigital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments Unit
chanes7
 
Main Java[All of the Base Concepts}.docx
Main Java[All of the Base Concepts}.docxMain Java[All of the Base Concepts}.docx
Main Java[All of the Base Concepts}.docx
adhitya5119
 
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
The simplified electron and muon model, Oscillating Spacetime: The Foundation...The simplified electron and muon model, Oscillating Spacetime: The Foundation...
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
RitikBhardwaj56
 
Walmart Business+ and Spark Good for Nonprofits.pdf
Walmart Business+ and Spark Good for Nonprofits.pdfWalmart Business+ and Spark Good for Nonprofits.pdf
Walmart Business+ and Spark Good for Nonprofits.pdf
TechSoup
 
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
PECB
 
Film vocab for eal 3 students: Australia the movie
Film vocab for eal 3 students: Australia the movieFilm vocab for eal 3 students: Australia the movie
Film vocab for eal 3 students: Australia the movie
Nicholas Montgomery
 

Recently uploaded (20)

Cognitive Development Adolescence Psychology
Cognitive Development Adolescence PsychologyCognitive Development Adolescence Psychology
Cognitive Development Adolescence Psychology
 
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
 
South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)
 
How to Setup Warehouse & Location in Odoo 17 Inventory
How to Setup Warehouse & Location in Odoo 17 InventoryHow to Setup Warehouse & Location in Odoo 17 Inventory
How to Setup Warehouse & Location in Odoo 17 Inventory
 
How to Add Chatter in the odoo 17 ERP Module
How to Add Chatter in the odoo 17 ERP ModuleHow to Add Chatter in the odoo 17 ERP Module
How to Add Chatter in the odoo 17 ERP Module
 
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama UniversityNatural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
 
writing about opinions about Australia the movie
writing about opinions about Australia the moviewriting about opinions about Australia the movie
writing about opinions about Australia the movie
 
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPLAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
 
Life upper-Intermediate B2 Workbook for student
Life upper-Intermediate B2 Workbook for studentLife upper-Intermediate B2 Workbook for student
Life upper-Intermediate B2 Workbook for student
 
Liberal Approach to the Study of Indian Politics.pdf
Liberal Approach to the Study of Indian Politics.pdfLiberal Approach to the Study of Indian Politics.pdf
Liberal Approach to the Study of Indian Politics.pdf
 
How to Make a Field Mandatory in Odoo 17
How to Make a Field Mandatory in Odoo 17How to Make a Field Mandatory in Odoo 17
How to Make a Field Mandatory in Odoo 17
 
The Diamonds of 2023-2024 in the IGRA collection
The Diamonds of 2023-2024 in the IGRA collectionThe Diamonds of 2023-2024 in the IGRA collection
The Diamonds of 2023-2024 in the IGRA collection
 
MARY JANE WILSON, A “BOA MÃE” .
MARY JANE WILSON, A “BOA MÃE”           .MARY JANE WILSON, A “BOA MÃE”           .
MARY JANE WILSON, A “BOA MÃE” .
 
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat  Leveraging AI for Diversity, Equity, and InclusionExecutive Directors Chat  Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
 
Digital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments UnitDigital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments Unit
 
Main Java[All of the Base Concepts}.docx
Main Java[All of the Base Concepts}.docxMain Java[All of the Base Concepts}.docx
Main Java[All of the Base Concepts}.docx
 
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
The simplified electron and muon model, Oscillating Spacetime: The Foundation...The simplified electron and muon model, Oscillating Spacetime: The Foundation...
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
 
Walmart Business+ and Spark Good for Nonprofits.pdf
Walmart Business+ and Spark Good for Nonprofits.pdfWalmart Business+ and Spark Good for Nonprofits.pdf
Walmart Business+ and Spark Good for Nonprofits.pdf
 
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
 
Film vocab for eal 3 students: Australia the movie
Film vocab for eal 3 students: Australia the movieFilm vocab for eal 3 students: Australia the movie
Film vocab for eal 3 students: Australia the movie
 

PROPERTIES OF LIGHT by R.Chinthamani.pptx

  • 1. RGB-COLOR MODEL Submitted By Mrs.R.CHINTHAMANI, Assistant Professor, Department of Computer Science E.M.G.Yadava Women’s College, Madurai-14.
  • 2. LIGHT  A Light is a narrow frequency band within the electromagnetic spectrum Spectrum of light:  A few of the other frequency bands within this spectrum are called radio waves, microwaves, infrared waves, and X-rays.  Each frequency value within the visible corresponds to a distinct color. The Electoromagnetic Spectrum Red : 4.3×1014 hertz , violet: 7.5×1014 hertz
  • 3.  Light is an electromagnetic wave. The various colors in terms of either the frequency f or the wavelength λ of the wave.
  • 4.  The wavelength and frequency of the monochromatic wave are inversely proportional to each other with the proportionality constant as the speed of light c: c = λ𝑓
  • 5.  Frequency is constanty for all materials, but the speed of light and the wavelength are material dependent .  In vaccum, c=3×1010 cm/sec.  Light wavelengths are very small, so length units for designating spectral colors are usually either angstroms(1Å= 10−8 cm)or nanometers (1 nm= 10−7cm).  An equivalent term for nanometer is millimicron.  since, wavelength units are more convenient to deal with than frequency units, spectrual colors are typically specified in terms of wavelength
  • 6.  A light source such as the sun or a light bulb emits all frequencies within the visible range to produce white light.
  • 7.  The combination of frequencies present in the reflected light determines what we perceive as the color of the object.  If low frequencies are predominant in the reflected light, the object is described as red. In this case, the perceived light has a dominant frequency at the red end of the spectrum.  The dominant frequency is also called the hue or simply the color of light.  The characteristics of the dominant frequency are brightness and purity are commonly used to describe the different properties we perceive in a source of light ,
  • 8.  Each frequency component within the range from red to violet contributes more or less equality to the total energy ,and the color of the source is described as white.  Energy distribution of a light source with a dominant frequency near the red end of the frequency range
  • 9.  The two or three colors used to produce other colors in such a color model are referred to as Primary colors.  No finite set of real primary colors can be combined to produce all possible visible colors.  The amount of red, green, blue needed to produce an spectral color. The curve plotted is called color- matching functions, were obtained by averaging the judgements of a large number of observes.
  • 10.
  • 11.  Based on the tristimulus theory of vision, our eyes perceive color through the stimulation of three visual pigments in the cones of the retina.
  • 12.  The visual pigments have a peak sensitivity at wavelength of about 630nm(red), 530nm(green) and 450nm(blue) .  By comparing intensities in a light source,we perceive the color of the light.  This theory of vision is the basis for displaying color output on a video monitor using the three color primaries, red, green, blue referred to as the RGB model.
  • 13. The RGB color models, defining colors with an additive process within the unit cube.
  • 14.  Vertices of the cube on the axes represent the primary colors, and the remaining vertices represent the complementary color for each of the primary colors.  The XYZ color system, the RGB color scheme is an additive model.  Intensities of the primary colors are added to produce other colors.  Each color point within the bounds of the cube can be represented the triple(R,G,B), where values for R,G,B are assigned in the range from 0 to
  • 15.  A color Cλ expressed in RGB component as, Cλ = RR+GG+BB  The magenta vertex is obtained by adding red and blue to produce the triple (1,0,1) and white at (1,1,1) is sum of the red, green, and blue vertices.  Shades of gray are represented along the main diagonal of the cube from the origin to the white vertex .  Each point along this diagonal has an equal cotribution fro each primary color, so that a gray shade halfway between black and white is represented as (0.5,0.5,0.5).
  • 16. The color gradutions along the front an top planes of the RGB cube
  • 17.  Chromaticity coordinates for an NTSC standard RGB chromaticity coordinates for the CIE RGB color model and the approximate values used for phosphors in color monitors. NTSC Standard CIE model Approx. color monitor values R (0.670,0.330) (0.735,0.265) (0.628,0.346) G (0.210,0.710) (0.274,0717) (0.268,0.588) B (0.140,0.080) (0.167,0.009) (0.150,0.070)
  • 18.  Also listed are the RGB chromaticity coordinates for the CIE RGB color model and the approximate values used for phosphors in color monitors. Color Gamut:  color gamut is defined as the range of colors which a particular device can produce or record.  Various standards govern color gamuts. The three standards frequently cited in relation to personal computers are sRGB, Adobe RGB and NTSC.
  • 19.  The color gamut defined by each standard is depicted  As a triangle on the xy chromaticity diagram
  • 20. END