Objectively
characterizing relevant variables (e.g., size of detail, desired quality,
resolving power of system)
Correlating
variables to one another via formulas
Confirming
results through testing and evaluation
BENCHMARKING
RESOLUTION
REQUIREMENTS
FOR PRINTED TEXT
Cornell adopted and refined a digital Quality Index (QI) formula for printed
text that was developed by the C10 Standards Committee of AIIM. (An explanation
of this approach is found in: Tutorial:
Determining Resolution Requirements for Reproducing Text-based Material).
This formula was based on translating the Quality Index method developed
for preservation microfilming standards to the digital world. The QI formula
for scanning text relates quality (QI) to character size (h) in mm and
resolution (dpi). As in the preservation microfilming standard, the digital
QI formula forecasts levels of image quality: barely legible (3.0), marginal
(3.6), good (5.0), and excellent (8.0).
Table:
Metric/English Conversion
...1
mm = .039 inches
...1 inch = 25.4 mm
The
formula for bitonal scanning provides a generous over sampling to compensate
for misregistration and reduced quality due to thresholding information
to black and white pixels.
Bitonal
QI Formula for Printed Text
QI = (dpi x .039h)/3
h = 3QI/.039dpi
dpi = 3QI/.039h
Note:
if the measurement of h is expressed in inches, omit the .039.
Resolution
Requirements For Printed Text: Comparison of letters scanned
at different resolutions.
Some
printed text will require grayscale or color scanning for the following
reasons:
Pages are badly stained
Paper has darkened to the extent that it is difficult to threshold
the information to pure black and white pixels
Pages contain complex graphics or important contextual information
(e.g., embossments, annotations)
Pages contain color information (e.g., different colored inks)
Scanning
Text: Compare bitonal (left) and grayscale (right) scanning
of a stained text page.
Because
tonal images subtly "gray out" pixels that are only partially on a stroke,
a separate formula was developed for grayscale/color scanning of printed
text:
Grayscale/Color
QI Formula for Printed Text
QI = (dpi x .039h)/2
h = 2QI/.039dpi
dpi = 2QI/.039h
Note:
if the measurement of h is expressed in inches, omit the .039.
Example:The
Case of the Brittle Book
Cornell
used benchmarking to determine conversion requirements for brittle
books containing text and simple graphics, such as line art, charts,
diagrams, and the like. Although some of the books contained darkened
pages, in most cases the contrast between text and background
was sufficient for capturing text in bitonal mode. We determined
resolution requirements by assessing the level of detail and by
defining our quality needs.
Printed
text offers a fixed metric for detail: the height of the smallest
significant lowercase letter. In a review of commercial typescripts
commonly used from 1850-1950, Cornell discovered that virtually
no publishers used fonts shorter than 1 mm in height. We were
interested in creating paper replacements for the deteriorating
originals, so our quality requirement was high--we wanted excellent
rendering of the fonts, including full representation of the serifs
and other attributes.
Once
we had determined the size of the detail and the desired quality,
our next step was to equate those requirements to the necessary
resolution. Using the bitonal QI formula, and a fixed detail metric
of 1mm, Cornell predicted that textual information could be captured
with excellent quality at a resolution of 600 dpi. An extensive
onscreen and print examination of digital facsimiles for a range
of typescripts used during the brittle book period confirmed these
benchmarks. Although many of the books did not contain such small
text, to avoid an item-by-item review, all books are scanned at
600 dpi.
Reality
Check
Calculate
the bitonal scanning resolution required to achieve excellent
quality (QI = 8) for a 3 mm high character. (Round to nearest
whole number.)
When
using a 400 dpi bitonal scanner, what would be the size of the
smallest character that you could capture with medium quality
(QI=5)? (Round your answer to the nearest hundredth of a millimeter.)