50
Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

Embed Size (px)

Citation preview

Page 1: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

Presented by:MU Libraries Digitization

MOBIUS Annual Conference 2012

Brian CainFelicity DykasRegina GuccioneElaine Huntsucker

Page 2: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker
Page 3: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

160,000 Pixels

D P IDots Per Inch

Page 4: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

Pixel

Dot

Page 5: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker
Page 6: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker
Page 7: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker
Page 8: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker
Page 9: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

200 DPI (DOTS PER INCH) 400 DPI (DOTS PER INCH)

Page 10: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

200 DPI 400 DPI

Page 11: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

1 2 3 4 5 6 7 8 9 10

1

2

3

4

6

7

8

9

10

Page 12: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

The number of bits used to indicate the color of a single pixel in a bitmapped image.

• 1 bit = 21 = 2 color channels

• The more bits of information per pixel, the more available colors and more accurate the color representation.

• An image with a bit depth of 1 has pixels with only two possible values: black and white.

Page 13: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

8 BIT DEPTH 24 BIT DEPTH

Both of these images are 400dpi

Page 14: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

8 Red ComponentsX

8 Green ComponentsX

4 Blue Components=

256 RGB Color Variations

8 bit = 2⁸ = 256

Page 15: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

256 Red ComponentsX

256 Green ComponentsX

256 Blue Components=

16,777,216 RGB Color Variations

24 bit = 224 = 16,777,216

Page 16: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

Two most common color modes are RGB and CMYK

RGB (Red, Green, Blue color channels) is an additive color process (red+green+blue=white)

CMYK (Cyan, Magenta, Yellow, blacK color channels) is a subtractive color process (cyan+magenta+yellow=black)

Page 17: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

Most common color mode for digital images

Produced from the measurement for each pixel of the amount of light passing through RGB filters in imaging hardware

Creates a color image through a mixture of each color channel depending on these measurements (0-255 for each RGB value at 24 bit)

Page 18: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

(255-0-0)

R G B

(0-255-0)

(0-0-255)

24 bit image: 256 X 256 X 256 = 16.8 million possible colors

Page 19: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

NO Red channel

NO Red and Green

NO Green Regular color

NO Blue and Red

NO Blue

NO Blue and Green

Page 20: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

More related to prepress work and printing

Method used in inkjet and laser printers for creating color images

Not a common color mode for digital images, usually a conversion from RGB

Page 21: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

Bitonal, binary, black and white, or 1-bit monochrome image

Records 1-bit of information (0, 1) depending on whether the pixel is light or dark

Page 22: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

Assigns pixels shades of gray on gradient between white and black

Grayscale 8 or 16 bit determines amount of shades of gray available

Page 23: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

What is a file format?File formats include .tiff, .jpeg, .pdf, essentially specific structures for the encoding of data that allows software to interpret and display the image. File formats usually include image data and metadata about the file itself and the image. What is compression?Compression is the process of reducing the amount of data stored for a digital image file, usually utilizing some sort of algorithmic formula. Depending on the method, compression can either be “lossless” or “lossy”, meaning reconstruction of the original digital image data may or may not be possible.

Page 24: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

Adoption and accessibility

Metadata creation

Range of functionality and flexibility

Long-term access and support

Preservation and storage considerations

What are some important considerations when choosing a file format?

Page 25: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

Software upgrades no longer support file format

File format itself is updated and legacy files become obsolete

Slow adoption and limited software options

Functionality no longer current with contemporary environment

File format is no longer supported or is withdrawn due to market forces

What problems may arise with file formats?

Page 26: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

Not any one format, proprietary format for each camera

Holds all the data captured by the camera sensor

Typically only understandable by camera-specific software, some third-party support available

Unsure long-term viability and support for each format

DNG (Digital negative) format by Adobe possible solution for universal RAW data conversion

Page 27: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

Royalty free file format with a long history and wide adoption

Can be thought of as a “file wrapper” that is able to preserve all image data and tags found in raster and vector images

Very flexible format that accommodates full RGB colors, high bit-depth, all associated metadata, and any image resolution

Capable of storing lossless images

Tagged Image File Format (TIFF)

Can result in very large file sizes

Rights held by Adobe

Page 28: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

JPEG was designed to limit file size for storage and for quick display

Uses “lossy” compression algorithms to reduce amount of image data

More limited color data (not full RGB) and reduced spatial resolution

Wide adoption and well supported

Smaller file size, however this is due to permanently discarded image data

Joint Photographic Experts Group

Page 29: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

Update of JPEG format, described as “lossless” (debatable)

Uses Wavelet compression techniques superior to regular JPEGs, however color data is still lost and spatial resolution data is modified in the compression process

Master

Display

Thumbnail Because of the nature of the

format, it can store and deliver varying versions of the image from one file

Needs specialized software to view and use JPEG2000, relatively low adoption and use rate

Page 30: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

Originally a proprietary format of Adobe, but was released as an open standard in 2008

Meant as a “wrapper” with structured page description for complex documents created using multiple component types (text, images, etc.). Not consistent encoding across all iterations of PDF software

Widely adopted and used, however varying forms of image compression and manipulation occur when saving as a PDF

PDF/a is an offshoot of PDF v1.4, meant for long-term preservation and is more restrictive in the content and types of structured data saved in the file

Portable Document Format

Page 31: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

GIF: only supports 8 bit (256 colors), lossy compression produces small file sizes, wide adoption on web

PNG: GIF replacement, supports true color (24 bit +), no CMYK support, lossless compression, not as commonly used as GIFs but growing

BMP: very simple format, records location of pixel and its color (up to 24-bit), does not store metadata

PSD: proprietary Adobe Photoshop File, dependant on Adobe software and support

Page 32: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

Comparison between TIFF, PNG, GIF and JPEG file size for 400 ppi color image

TIFF

JPEG/GIF

PNG

Page 33: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

ColorComparison between color, grayscale and bitonal TIFF files at 400 ppi resolution

Grayscale

Bitonal

Page 34: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

400 ppi

200 ppi100 ppi

Comparison between 24 bit color TIFF files at 400, 200 and 100 ppi resolutions

Page 35: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

It depends …Try for good versus bestEstablish acceptable minimum level

of work, and make it the benchmark. (Meissner, 2011, slide 9)

Page 36: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

Priority is to create and preserve a high-quality master copy of a digital image

Priority is to provide access to users

Page 37: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

Create a fully documented high-quality ‘digital-master’ from which all other versions … can be derived.

Digital master highest resolution and bit depth that is

both affordable and practical preserves to the greatest extent

possible the authenticity and integrity of the original information.

(Hughes, 2004, p. 166-167)

Page 38: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

• More Product, Less Process• Maximize user access (preeminent goal)• Golden minimum “good enough”

digitization is realistic• Arrange, describe and digitize at a

common aggregate level• Reserve exception digitization effort only

when warranted• Accomplish more digitization by trying to

do less• (Elings)

Page 39: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

Then … Now …

Craft Assembly Line

Rigorous quality control Quality control not as rigorous

Few highly skilled students working

More students working more hours

Digital image editing Consistency in product produced, not perfection

Completing 17-39 books [per month]

Completing 500-800 books [per month]

(Henry, 2008)

Page 40: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

Goals and prioritiesAudienceMaterial Institutional resources

Page 41: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

o Goals and priorities of the institution and the projecto Grant requirements o Requirements of partnerso Long-term planso Fit the file to the purpose (Kenney, 2000,

p. 105)o Archival/preservation copy versus

access copy

Page 42: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

o Target user needso Will users want to zoom in and view

detail?o Will users need OCR to search the

content?o Will users want to print the digital image?o Will users be interested in the artifact as

well as the content? o What image performance is required?

Page 43: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

o Text versus graphics/pictureso Text with a crisp font versus

handwritten texto Black and white versus coloro Condition of itemso Need to retain the digitized items

Page 44: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

o People and skillso Equipment / technologyo Digitization equipment

o Infrastructure / platforms for access and storage

o Time and production targetso Constraints imposed by source material

(condition and types)

Page 45: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

• Factors that will influence decisions [throughout the digital life cycle]– The reasons for digitization– The materials to be digitized, especially their

condition and informational content– The level of fidelity to the original that is required– The technical and financial resources that are

available to the project, and the scale of the project

– The potential uses and users of the digital objects– Any specific desired outcomes for the physical

objects that are to be digitized.(Hughes, 2004, p. 165)

Page 46: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

At times, your choice comes down to time and money: convert fewer items at a high level or more items at reduced quality. (Kenney, p. 25)

Strive for good quality that meets user needs

Whatever you decide, be consistent Document your standards / criteria

Page 47: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

A frequent concern is how to achieve the proper balance between quality and rate of production. Having a clear vision of the use of the digital materials and the quality required will help to focus such decisions. (Hughes, 2004, p. 165-166)

Compromises in quality are acceptable when the purpose of imaging is a matter of access only and preservation of information of the original has been assured through conservation or preservation reformatting. However, when the intent of digitization is the reproduction or replacement of the original, the highest possible resolution and tonality must be applied. (Ballinger, p. 160)

Page 48: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

Tiff, uncompressed and unedited The standby (Nadal, 2012b) Various dpi: 300-600; choose the highest

possible for type of material 24-bit color

PDF/A Very preservable (Nadal, 2012b)

Digital negative May be valuable as a digital preservation

format for the specific use-case of born-digital photography (Nadal, 2012b)

Page 49: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

• Long-term access will likely include the need to o Refresh – moving files from one physical storage

medium to another to avoid obsolescence or degradation of the storage medium

o Migration – moving files from one encoded format to another

o Emulation – develop new tools that will re-create the conditions under which the original data were created; similar to migration, but focuses on the application software

o (Hughes, 2004, p. 205)

Page 50: Presented by: MU Libraries Digitization MOBIUS Annual Conference 2012 Brian Cain Felicity Dykas Regina Guccione Elaine Huntsucker

Questions?