Color Evaluation/Correction

Transcription

Color Evaluation/Correction
Color Image
Evaluation, Correction and Adjustment
by Taz Tally Ph.D.
A presentation of Taz Tally Seminars 2007©
Color Image Evaluation, Correction and Adjustment
Quality Printing Presents
Color Image Evaluation,
Correction and Adjustment
Taz Tally
Taz Tally Seminars
E-mail: [email protected]
Web: www.taztallyhpotography.com
www.tazseminars.com
Topics for Today
ϖ Color Image Correction vs Adjustments
ϖ Color Image Fundamentals
ϖ Image Evaluation and Correction Tools
ϖ Evaluating images
ϖ Finding and Correcting Neutrals and Potential Neutrals
ϖ Working with Isolations
ϖ Evaluating and Correcting Skin Tones
ϖ Complex Multipoint Color Corrections
ϖ Creative Adjustments
ϖ Target Based Adjustments
Image Correction vs Adjustment
ϖ Color Image Correction
♣ Correcting color that is wrong
ϖ Color Image Adjustment
♣ Adjusting color to suit your creative desires
♣ Its not necessarily wrong … It’s just not
what you want
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Color Image Fundamentals
Color Image Fundamentals
ϖ Its ALL about Grayscale
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Digital images don’t have color … only grayscale
You capture, measure, adjust and output grayscale
All color is created at output devices
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RGB for Monitors
CMYK (+) for printers
RGB Image
Red Channel
Green Channel
Blue Channel
Color Image Fundamentals
ϖ Its ALL about Grayscale
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Digital images don’t have color … only grayscale
You capture, measure, adjust and output grayscale
Grayscale measured 0-255 GS values for RGB
Grayscale measured 0-100% for CMYK
RGB Image
Red Channel
Green Channel
Blue Channel
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Image Evaluation Tools
Image Evaluation
ϖ Histograms
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Shows distribution and quantity of image data
Where data is and isn’t!
Image Evaluation
ϖ Histograms
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♣
Shows distribution and quantity of image data
Where data is and isn’t!
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Image Evaluation
ϖ Histograms
♣
♣
Shows distribution and quantity of image data
Where data is and isn’t!
Image Evaluation
ϖ Histograms
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♣
Shows distribution and quantity of image data
Where data is and isn’t!
Image Evaluation
ϖ Histograms
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♣
Shows distribution and quantity of image data
Where data is and isn’t!
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Image Evaluation
ϖ Histograms
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♣
Shows distribution and quantity of image data
Where data is and isn’t!
Image Evaluation
ϖ Eye Droppers and Info Tool
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Measure rather than view:Info tool will always tell the truth
Eye Droppers
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Default Eye Dropper - Measure 1 Point
Color Sampler - Measure and monitor up to 4 points
Image Evaluation
ϖ Finding Highlights and Shadows
♣ Histogram Trick
♣ Hold Option/Alt key as you slide HL and SH sliders to ID pixels
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Image Evaluation and Correction:
Highlights
Image Evaluation
ϖ Histogram, Eye Droppers and Info Tool
♣ Use Together
♣ Note: Low HL values and Blue cast
Image Correction
ϖ Histogram, Eye Droppers and Info Tool
♣ Master Histogram Adjustment
♣ All values rise but are not equal … B&G blow out here
♣ An improvement!
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Image Correction
ϖ Histogram, Eye Droppers and Info Tool
♣ Individual Channel Histogram Adjustment
♣ All values rise, are equal (245) … and NO blown out values
♣ Even Better!
Image Correction
ϖ Histogram, Eye Droppers and Info Tool
♣ Individual Channel Histogram Adjustment
♣ All values rise, are equal (245) … and NO blown out values
♣ Even Better!
Image Comparison
ϖ Histogram, Eye Droppers and Info Tool
♣ Individual Channel Histogram Adjustment
♣ All values rise, are equal (245) … and NO blown out values
♣ Even Better!
♣ Note how highlights pop and overall brightness and contrast. As well as color
saturation improves.
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
– Image Evaluation and Correction –
No Highlights - Histogram Only
Image Evaluation
ϖ Histogram Only Adjustment
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No critical Highlight
Master Histogram shows flat areas in HL and SH
Image Evaluation
ϖ Histogram Only Adjustment
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Individual histograms are centered
Master Histogram adjustment OK
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Image Correction
ϖ Histogram Only Adjustment
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Individual histograms are centered
Master Histogram adjustment OK
Improved brightness, contrast + color saturation
Image Evaluation
ϖ Histogram Only Adjustment
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No critical Highlight
Master Histogram shows flat areas in HL and SH
Image Evaluation
ϖ Histogram Only Adjustment
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Individual histograms are centered
Master Histogram adjustment OK
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Image Correction
ϖ Histogram Only Adjustment
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Individual histograms are centered
Master Histogram adjustment OK
Improved brightness, contrast + shadow detail
– Image Evaluation and Correction –
Locating Multiple Neutrals
Image Evaluation
ϖ Multiple Neutrals
♣ Locate neutrals
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Flower petals (HL)
Boot fabric (M)
Black sole (S)
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Avoid
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Key image char.
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Cast Shadows
Color absorbed
White highlight
Saturated colors
Shadow details
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Image Evaluation
ϖ Multiple Neutrals
♣ ID Specular and diffuse Highlights
Image Evaluation
ϖ Multiple Neutrals
♣ Sampler points and values
♣ Note the blue cast in neutrals
♣ Note lack of blue cast
in cast shadow
ϖ HL 239,239 255
ϖ Midtone 105, 106, 118
ϖ Shadow 40, 39, 53
ϖ Cast shadow 13,13,13
Image Correction
ϖ Multiple Neutrals
♣ Curve corrected values
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Cmd/Cnt + click on neutral
Establish Curve control points
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Loss of blue cast in neutrals
Cast shadow, color cast
HL 239,239 239
Midtone 105, 106, 105
Shadow 40, 39, 40
Cast shadow 13,13,9
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Image Comparison
ϖ Multiple Neutrals
♣ Before and after
♣ Colors are more saturated
- Yellow boots
- Pinks
- Stripes in boots
- Set off neutral gray boot fabric
– Image Evaluation and Correction –
Skin Tones
Image Evaluation
ϖ Key Image Areas
♣ Skin tone
♣ Diffuse white highlights
♣ Bright green colors
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Image Evaluation
ϖ Skin Tones
♣ R>G>B
- R, G and B more separated in lighter areas
♣ Here G and B ~ =
Image Evaluation
ϖ Skin Tones
♣ Master Histogram shows blown out HL
Image Eval
ϖ Skin Tones
♣ Master Histogram shows blown out HL
- Especially on R and B channels
♣ Also note blue midtone hump
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Image Correct
ϖ Skin Tones
♣ Curves correction
- Focus on Blue Curve
- Tweak Red and Green especially in HL
Image Correction
ϖ Skin Tones
ϖ R > G > B = Warmer skin tones
ϖ Note greens are more saturated
ϖ White Highlight NOT blown-out
– Image Evaluation and Correction –
Skin Tones and Neutrals
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Image Evaluation
ϖ Key Image Components
♣ Skin tones
♣ Red hair
♣ Orange Colored jacket
♣ Neutral gray fleece
Image Evaluation
ϖ Skin Tones
♣ Master Histogram shows good overall exposure/data
distribution - Full histogram
ϖ High Blue values in skin and neutral
♣ G~B
Image Evaluation
ϖ Skin Tones
♣ Individual histograms show an excess of
Blue and Green in image with so much red
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Image Correction
ϖ Skin Tones
♣ Lower Blue for R > G > B
♣ But also lower Green
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Use the neutral fleece as your guide
Use Red (~98) value as the target neutral value
Image Correction
ϖ Skin Tones
♣ Lower Blue for R > G > B
♣ But also lower Green
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Use the neutral fleece as your guide
Use Red (~98) value as the target neutral value
Image Correction
ϖ Start
ϖ Blue Correct
ϖ Blue + Green Correct
♣ Note: Skin tone, Red hair, neutral fleece - nice set off to > popping orange
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
– Image Evaluation and Correction –
Using Potential Neutrals
Image Evaluation
ϖ Image Characteristics
♣ Low contrast
♣ Poor brightness
♣ Low color saturation
♣ Too dark overall
♣ Overall blah
ϖ Key Image Components
♣ White diffuse highlight (Hankie)
♣ Skin tones
♣ Colors: Red shirt and green grass
♣ Logs (potential neutral)
Image Eval
ϖ Set Sampler Points
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1. Hankie White HL: too dark + red cast
2. Skin tone: G ~ B, G should be > B
3. Gray Beard (neutral): Confirms red cast
4. Wood (Potential neutral): Green Low?
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Correct others first then re-evaluate RGB values
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Image Eval
ϖ Histogram analysis
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Master shows poor HL and SH values
Red data shifted to right
Green and Blue ~
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Extra Red Peak (shirt)
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Green should have more of a bump
Image Correction
ϖ Individual histogram channel adjust
♣ Neutralize white highlight
♣ Use Levels Adjustment layer
Image Correction
ϖ Individual histogram channel adjust
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Neutralize white highlight (pt. 1)
Improves B & C
Better skin tones: R > G > B (pt.2)
Enhanced color saturation (reds and greens)
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Image Correction
ϖ Individual histogram channel adjust
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Neutralize white highlight
Improves B & C and color saturation
Note Strong blue value in Neutral? Wood (pt. 4)
Image Correction
ϖ Blue Channel Curve Adjust
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Lower Blue midtone to ~ neutralize wood
Wood looks more natural
Improves red and green saturation
Image Correction
ϖ Start,
ϖ Intermediate:
♣ HL & SH adjust
ϖ Final:
♣ Blue Curve neutralization
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
– Image Evaluation and Correction –
Highlights, Skin Tones and Isolations
Image Evaluation
ϖ Key Image Components
♣ White diffuse highlight (T-Shirt)
♣ Skin tones (Mark and Tauna)
♣ Marks gray shirt (potential neutral)
ϖ Image Characteristics
♣ Low contrast
♣ Poor brightness
♣ Low color saturation
♣ Too dark overall
♣ Overall blah
Image Eval
ϖ Neutrals, Skin tones, Isolation
♣ HL too dark
♣ Sky values lighter than critical
diffuse Highlight
♣ Isolate Sky to
prevent blow out
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Image Correction
ϖ Select Sky
♣ Use Blue channel for selection: Best contrast
♣ Select with Magic Wand + Similar
♣ Return to composite RGB image
♣ Select > Feather > 2-3 pixels
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Prevents apparent abrupt transitions
View selection edges with Quick Mask
Image Correction
ϖ Save Sky and Foreground Selections
ϖ Selections can be loaded at any time
♣ Cmd/Cnt + Opt/Alt + Channel #
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Cmd + Opt + 4 = Loads Sky Mask (Mac)
Cnt + Alt + 5 = Loads Foreground Mask (Win)
Image Evaluation
ϖ Eye Droppers and Info Tool
♣ Establish Color Sampler points on key areas
- Measure and monitor up to 4 points
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Image Evaluation
ϖ Histograms Evaluation: Full Image
♣ Highlight too low/dark
♣ Blue channel offset = Blue cast
- Make individual channel corrections
Image Evaluation
ϖ Histograms Evaluation: Foreground
♣ Data offset to left - too low/dark
♣ Blue channel offset = Blue cast
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Could make individual channel corrections
in levels -
Image Correction
ϖ Correct Foreground
♣ Curves correction
♣ Use Curves Adjustment Layer
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Image Correction
ϖ Correct Foreground
♣ Curves correction
♣ Use Curves Adjustment Layer
Image Correction
ϖ Correct Background Sky
♣ Levels correction
♣ Use Levels Adjustment Layer
♣ Master or individual channel adjustment
Image Correction
ϖ Correct Foreground
♣ Use Levels Adjustment Layer - Background
♣ Use Curves Adjustment Layer - Foreground
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
– Image Evaluation and Correction –
Complex Multipoint Color Correction
Image Evaluation
ϖ Key Image Components
♣ White diffuse highlights - direct sun
♣ Cast shadow neutrals
ϖ Image Characteristics
♣ Lower Contrast
♣ Lower brightness
♣ Color cast
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From low angle sun
Yellow (R+G)
♣ Soft focus
ϖ Goals
♣ Improve overall B&C
♣ Remove color cast
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Neutralize snow
♣ Sharpen focus
Image Adjustment
ϖ Create Levels Adjustment Layer
♣ Most important in complex image corrections
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Locate + Set Initial Highlight and Shadow
ϖ Highlight and Shadow locations
♣ Levels trick
♣ Diffuse highlight on ridge
♣ Foreground shadow: Fill in
Set Middle Highlight
ϖ Highlight and Shadow locations
♣ Set #1 HL Sampler point
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Note Yellow (R+G) cast
♣ Slide Master HL till G = 242
♣ Remainder of adjustments
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Curves
Image Evaluation
ϖ Note improvement in overall B & C
♣ Master levels adjustments
ϖ Locate other 3 Sampler Points
♣ 2 White diffuse highlights - direct sun (1 & 2)
♣ 1 Midtone - semi direct sun (3)
♣ 1 Cast shadow neutrals (4)
ϖ Note color casts
♣ Inconsistent
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Image Evaluation
ϖ Evaluate Sample Points
♣ White diffuse highlights (1 & 2): R > G >>B
♣ Midtone neutrals (3): (R ~ G) > B
♣ Cast shadow (4): B > (R~G)
Image Adjustment
ϖ Add Curves Adjustment Layer
♣ Most important in complex image corrections
Image Adjustment
ϖ Set four control points Red curve
♣ Cmd/Cnt + Click on each Sampler point
ϖ Adjust 4 Sampler points till R = G
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Image Adjustment
ϖ Set four control points Blue curve
♣ Cmd/Cnt + Click on each Sampler point
ϖ Adjust 4 Sampler points till B = G
Image Adjustment
ϖ Neutralized Image
♣ Complex cast removed
Image Sharpening
ϖ Convert to Lab
♣ Image > Mode > Lab
ϖ Select L channel
♣ Sharpen L channel
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Prevents creation of edge color casts
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Amount = 50-200
Radius = 1
Threshold = 3-4 (prevents texture in snow)
♣ Sharpening values
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Image Adjustment
ϖ Before and After
♣ B&C improved
♣ Complex cast removed
♣ Sharper
ϖ Key points
♣ Image evaluation
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Inset HL and SH
ID Complex Cast
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Proper tools
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Adjustment order
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Multipoint Sampler
Adjustment Levels
Adjustment Curves
Lab sharpening
Initial HL Master Level
Red channel
Blue channel
Mode convert
Sharpening
– Creative Adjustments –
or why NOT to use Auto-Anything
Image Evaluation
ϖ Key Image Components
♣ No Diffuse white HL
♣ Really no easy neutrals
ϖ Image Characteristics
♣ Low contrast
♣ Low brightness
♣ Blue Color cast
ϖ Goals
♣ Improve overall B&C
♣ Pop Rainbow
♣ Experiment with color cast
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Auto Levels
ϖ Minor improvement
♣ Shadow point stays far left
Manual Levels
ϖ Major improvement
♣ Much better contrast and color saturation
Manual Levels
ϖ Master vs Individual Channels Adjustments
♣ Change in color cast
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
– Target-Based Color Correction –
Using Grayscale Swatches
Image + Target Capture
ϖ Capture multi-step grayscale target with image
ϖ Neutralize the grayscale swatches
♣ Swatches have known values
ϖ Color is corrected as a result
♣ Concept: All color is controlled by grayscale
– Simple 2-Step/2-Swatch –
Eye Dropper Correction
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Target-Based Correction
ϖ Set Levels HL Dropper to HL Swatch = 245
♣ Double click on the Levels HL dropper to open Color Picker
♣ Set RGB values = 245
♣ Close Color Picker
Target-Based Correction
ϖ Click on the target’s 245 highlight swatch
ϖ Starting Target HL RGB values = 229, 255, 255
ϖ Corrected target HL RGB values = 245, 245, 245
Target-Based Correction
ϖ Click on the target’s 245 highlight swatch
ϖ Target HL is neutralized to 245
ϖ Colors in HL range are corrected
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Target-Based Correction
ϖ Set Levels Midtone Dropper to midtone Swatch = 135
♣ Double click on the Levels HL dropper to open Color Picker
♣ Set RGB values = 135
♣ Close Color Picker
Target-Based Correction
ϖ Click on midtone 135 swatch
ϖ Target midtone is neutralized to 135
ϖ Colors near midtone range are corrected
Target-Based Correction
ϖ Before and After 2 Step Neutralization
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
– Multi-Swatch Curves Correction –
Image + Target Capture
ϖ Capture multi-step grayscale target with image
ϖ Neutralize EACH grayscale swatch
♣ Using known Swatches values
ϖ Color is corrected very accurately
Target-Based Correction
ϖ Capture multi-step grayscale target with image
ϖ Neutralize EACH grayscale swatch
♣ Using known Swatches values
♣ Cmd/Cnt click on swatch to set Curve point
♣ Set Output value = to swatch value (here 135)
ϖ Color is corrected very accurately
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Target-Based Correction
ϖ Capture multi-step grayscale target with image
ϖ Neutralize EACH grayscale swatch
♣ Using known Swatches values
♣ Cmd/Cnt click on swatches to set Curve points
♣ Set Output values for each swatch/point pair
ϖ Color is corrected very accurately
ϖ Note: Use Curve Adjustment Layer
Target-Based Correction
ϖ Before and After Multi-Step Curve Neutralization
Target-Based Correction
ϖ Save Curves
ϖ Load Curves
♣ Correct multiple images captured under same lighting
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Target-Based Correction
ϖ Save Curves
ϖ Load Curves
♣ Correct multiple images captured under same lighting
The Book!
Taz Tally
Taz Tally Seminars
Homer Alaska
Phone: 907-235-3794
E-mail: [email protected]
The Color
Correction
Kit!
Send me an Email
[email protected]
I will send you a secure PayPal invoice
and ship you your kit!
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Copyright 2007 – Taz Tally Seminars
Color Image Evaluation, Correction and Adjustment
Taz Tally
Taz Tally Seminars
E-mail: [email protected]
Web: www.taztallyhpotography.com
www.taztallyphotography.com
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Copyright 2007 – Taz Tally Seminars