SlideShare a Scribd company logo
1 of 20
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 processingrmsurya
 
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 ProcessingAmna
 
06 color image processing
06 color image processing06 color image processing
06 color image processingJaiverdhan .
 
Color Image Processing
Color Image ProcessingColor Image Processing
Color Image Processingkiruthiammu
 
Colour models
Colour modelsColour models
Colour modelsBCET
 
3.12 c hromaticity diagram
3.12 c hromaticity diagram3.12 c hromaticity diagram
3.12 c hromaticity diagramQC Labs
 
Color theorykareemebrahim
Color theorykareemebrahimColor theorykareemebrahim
Color theorykareemebrahimKareem .
 
Color-in-Digital-Image-Processing.pptx
Color-in-Digital-Image-Processing.pptxColor-in-Digital-Image-Processing.pptx
Color-in-Digital-Image-Processing.pptxEveCarolino
 
Lecnoninecolorspacemodelindigitalimageprocess
LecnoninecolorspacemodelindigitalimageprocessLecnoninecolorspacemodelindigitalimageprocess
LecnoninecolorspacemodelindigitalimageprocessIrsaAamir
 
Dip color image processing
Dip  color image processingDip  color image processing
Dip color image processingUma mohan
 
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 RefinementIJTET 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 EvaluationAnkith Nair
 
Project report_DTRL_subrat
Project report_DTRL_subratProject report_DTRL_subrat
Project report_DTRL_subratSubrat Prasad
 

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

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

Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAssociation for Project Management
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Sapana Sha
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991RKavithamani
 
Science 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsScience 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsKarinaGenton
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...Marc Dusseiller Dusjagr
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsanshu789521
 
URLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppURLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppCeline George
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3JemimahLaneBuaron
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingTechSoup
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
MENTAL STATUS EXAMINATION format.docx
MENTAL     STATUS EXAMINATION format.docxMENTAL     STATUS EXAMINATION format.docx
MENTAL STATUS EXAMINATION format.docxPoojaSen20
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionSafetyChain Software
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 

Recently uploaded (20)

Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across Sectors
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
 
Science 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsScience 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its Characteristics
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha elections
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
URLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppURLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website App
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
MENTAL STATUS EXAMINATION format.docx
MENTAL     STATUS EXAMINATION format.docxMENTAL     STATUS EXAMINATION format.docx
MENTAL STATUS EXAMINATION format.docx
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory Inspection
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 

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