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Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen...

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Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen [email protected] 301.314.2558
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Page 1: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

Scanning and Digital Imaging Basics

Digital Initiatives TeamOctober 18, 2006

Gretchen [email protected]

301.314.2558

Page 2: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

Introduction

• What will we cover?– What do I need to know about digital

images?– How do I make/edit digital images?– How do I use digital images?

• Why are we covering it?– To ensure a level of quality in

images that we scan.– To ensure a level of quality in

images that we keep for archival purposes.

Page 3: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

Digital Images and Pixels

What are Digital Images Made of?• Digital elements called pixels.

– Pixels are bundles of digital information. They are organized into a grid to convey the image. Dimensions of the digital image are given in pixels.

• Image elements called dots.– Dots are smallest unit of a color. The more dots in

an inch of the picture, the better it looks. This aspect is called resolution.

• Print size– Pixels determine the size of the digital image, but

the print size determines what you will see on the screen or when you print out an image.

Page 4: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

Patterns of dots produce the effects of consistent color

Page 5: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

The many sizes of Testudo

Changing the document size alone doesn’t change the pixel dimensions or the file size

Page 6: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

Before: 6.167 x 4.014 inches (444x289 pixels)72dpi375.9K

Pixel size

Print size

After:3 x 1.953 inches (444x289 pixels)148dpi375.9K

Page 7: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

The many sizes of Testudo

“Resampling” changes both the pixel dimensions, the print size, and the file size.

Page 8: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

Before:6.167 x 4.014 inches

444 x289 pixels)

72dpi

375.9K

After:12 x7.811 inches

864 x562 pixels

72dpi

1.39 M

Pixel size

Print size

Page 9: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

Digital Images and Pixels

• The ratio of the number of dots to the PRINT size is the Resolution.– Resolution is used to judge the

quality of the image. The higher the resolution, the sharper the image details are.

– Resolution should change as print size changes if the image is not resampled.

– Resolution is most often measured in dots per inch or ‘dpi’.

Page 10: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

Digital Images and Pixels

What are pixels made of?• Pixels are groups of digital

information – groups of bits (0 or 1) that give directions for different colors– The number of bits in the pixel

determines the color palette:More bits = more combinations = more

possible colors

This is called ‘bit-depth’ and it is closely related to color profiles or modes

Page 11: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

Color profile and bit-depth

• How does bit-depth affect color?– 1-bit = two colors (‘0’ or ‘1’ for each pixel)

– 2-bit = four colors (’00’, ’11’, ’01’, ’10’)

– 4-bit = 16 colors (‘0000’, ‘0001’, etc.)

– 8-bit = 256 colors (‘00000000’, ‘00000001’, etc.)

The more colors you can use, the more realistic a picture looks

Page 12: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

Color profile and bit-depth

• So can I get more than 256 colors?– 3 channels (R,G,B) @ 8-bit =

8-bit/channel, or 24-bit/ pixel“millions of colors”

• Can I get even more than that?– 3 channels (R,G,B) @ 16-bit =

16-bit/channel or 48-bit/pixel = “millions of colors” x 2

Page 13: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

The Big Picture

Which Color Profile to Use?1-bit:

– Black & White [text with no artifactual value mainly for large-scale book scanning]

8-bit, 1 channel:– Indexed color [web graphics and thumbnails]– Grayscale [text with some artifactual value;

rarely with black and white images]8-bit, 3 channels:

– RGB (red, blue, green, the primary colors of light…and your monitor) [manuscript text, photographs, slides, etc.]

8-bit, 4 channels:– CMYK (cyan, magenta, yellow, black, the primary

colors of ink used in printing) [images destined for offset printing]

Page 14: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

The Big Picture

• Next you need to decide how many dots to use to capture your image. Theoretically, the more you cram

in the better the image is, right?

Answer: yes and no– Image quality relates both to the number of

dots of color and the size at which the image is displayed.

– Once the image is scanned, dots can be stretched or compressed but should not be added.

Page 15: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

The Big Picture

=

Increasing size without increasing resolution stretches out the dots of color.

Page 16: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

The Big Picture

=2.7x4.5 @ 72dpi;18.5kb

10x16 @ 19 dpi18.5kb

Page 17: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

The Big Picture

However, keeping resolution constant results in ‘interpolation’. The computer adds in

new dots and guesses their color.

Page 18: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

The Big Picture

=

10x16 @ 72dpi4.6Mb

2.7x4.5 @ 72dpi;18.5kb

Page 19: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

The Big Picture

Page 20: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

The Big Picture

• So the only reliable way to increase the size of an image (or zoom into a detail) is to scan at a higher resolution than what you would need at the regular size

• How do you know what resolution you need?– Print limitations: 280 to 300 dpi– Screen limitation: 72 dpi

–Institutional Guidelines

Page 21: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

The Big Picture

=

Resolution SHOULD decrease when you enlarge, but if you scan at a high resolution, the loss won’t be as severe.

Page 22: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

The Big Picture

2x1.5 @ 300 dpi

95kb

9x6.5 @ 72 dpi95kb

=

Page 23: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

The Big Picture

If we want to create a smaller file size, we can change the print size and resolution through resampling as long as the resulting image decreases these values and still meets the needs of viewing medium.

Page 24: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

Saving and Sharing

• Now that we know what settings to use to make a good image, how do we save it?– Need a copy to keep (hi-res, original

size, big file)

– Need a copy to print (med- to hi-res, determined size, big to medium file)

– A copy to view (lo-res, determined size, small file)

– A copy for comparison (lo-res, small size, small file)

Page 25: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

Saving and Sharing

• Other factors that affect file size:– Compression:

• Lossy– Similar information is lumped together

• Lossless – Compresses data but keeps the directions

to reconstruct it. Doesn’t compress as much as lossy compression.

Page 26: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

Saving and Sharing

– Format:• TIFF files are usually the largest because

they can be uncompressed or compressed using a lossless method.

• JPEG files use a lossy compression and are much smaller than TIFFs

• GIF files also use lossy compression in combination with an index color scheme making them very small.

For archival purposes a TIFF file is usually kept as a ‘master’ file. JPEGs are created as high-quality derivatives and GIFs may be created for use as thumbnails.

Page 27: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

Making Decisions

• Now that you understand some of the variables, resources exist to help you make decisions– Best Practices for Digital projects

• http://www.lib.umd.edu/dcr/publications

– Workshop handouts– Digital Collections and Research

• http://www.lib.umd.edu/dcr• 301-314-2558• [email protected]

Page 28: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

Scan Interfaces

• What variables can I control when scanning?– Color profile/bit depth– Resolution– Size

– Histogram balance / Tone Curve

Page 29: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.
Page 30: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

Scan Interfaces

Epson Interface

Color settings lists bit-depth but not “RGB”

Both resolution and print (document) size are changeable

The histogram tool is opened from here. It will adjust the exposure settings

Epson Scan in ‘Professional Mode’

Page 31: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

Scan InterfacesEpson Scan in ‘Professional Mode’

Histogram input sliders and levels

Histogram output sliders and levels

Page 32: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

Microtek Interface

Resolution and print size settings

Color settings

Open Color Correction toolOpen Tone Curve tool

Scan Interfaces

Preview Window

Overview, Prescan, and Scan buttonsOpen correction tools

Page 33: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

Scan InterfacesMicrotek Interface

Info window

Color wheel

Page 34: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

Scan InterfacesMicrotek Interface

Interface with a correction tool open

Page 35: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

Scan InterfacesNikon SuperCoolScan 5000ED (for slides)

Color options are:

Calibrated RGB or Grayscale

Preview and scan buttons

Option to see the image with or without corrections

“Keep this File Size” and “Resolution” controls

Page 36: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

Scan Interfaces

Curves palette does the same thing as the histogram adjustment in the Epson scanner.

Nikon SuperCoolScan 5000ED (for slides)

Page 37: Scanning and Digital Imaging Basics Digital Initiatives Team October 18, 2006 Gretchen Gueguen ggueguen@umd.edu 301.314.2558.

Examples of Noise, Distortion, Channel Problems

Fixed pattern noise

Random noise

Banding

Moiré patterns

Channel misalignment


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