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Vector
graphics are resolution-independent—thus, their resolution
is determined only by the output device. Because vector elements
are mathematically-defined, scaling (enlarging or reducing their
size) simply requires modification of their component mathematical
descriptions.
Whereas
vector graphics are resolution-independent, raster images are resolution-dependent—the
number of pixels that occupy a given space must be defined. Consequently,
raster image resolution is specified in pixels per inch (ppi). However,
although the term is not effective, image resolution commonly is
referred to in dots per inch (dpi)—dpi more appropriately
is attributed to device resolution or output resolution, where the
number of dots an output device is able to produce within an inch
represents the resolution of the device.
pixels
and resolution
By dividing
the number of pixels in the height and in the width
of a raster or bitmap by its resolution will determine
the physical size of the image—e.g., a 300ppi
raster image that is 900 pixels wide and 600 pixels
high is 3 inches by 2 inches in size:
900 pixels
÷ 300ppi
= 3 inches wide
600 pixels
÷ 300ppi
= 2 inches high
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image
classifications
Monochrome
(1-bit) image resolution for images intended for lithographic
print is 900-1200ppi. In general, monochrome image resolution should
be equivalent to the resolution of the intended output device. Output
resolution for computer-to-plate devices (i.e., platesetters) typically
is about 2400dpi; however, because no significant visible improvement
is realized when 2400ppi and 1200ppi monochrome images are compared,
the range for monochrome image resolution is suggested as 900-1200ppi.
Tone
image resolution is recommended as 300ppi. This recommended
resolution, as well as ranges suggested for other file types, assumes
that images have been scanned at the same size intended for print
(e.g., the typical image width is approximately 20 picas, or 3 1/3
inches, for a single-column image that will appear in a double-column
standard size publication).
Combination
tone image resolution is recommended as 500-900ppi. Because
of text and/or line art components, sufficient resolution is required
for combination tones to counter the effect of aliasing (i.e., stair-stepped
appearance or "jaggies"); however, higher resolution equates to
larger physical file size. Consequently, for combination tones,
a compromise is achieved that balances the issues of aliasing and
physical file size.
image
resolution & half-toning
During
the process of halftoning, series of pixels are translated to halftone
dots of varying sizes and position. Improved results are achieved
when more than a single pixel is available to describe the density
of a given halftone dot. Consequently, a quality factor can be assumed
to enable determination of the suggested resolution for tone images.
For
tone images that will be halftoned at 133lpi (lines per inch) or
higher, a quality factor of 1.5x is applied. For images that contain
geometric objects: lines, repeating patterns, diagonals, etc., a
quality factor of 2x the halftone linescreen is beneficial. Below
133lpi, a quality factor of 2x is recommended, since halftone conversion
to proper densities is less accurate for lower linescreen rulings.
Because
halftone linescreen usually is not known at the time of scanning,
300ppi is assumed to be a reasonable guideline for grayscale or
color tone image resolution. Images that have been created or modified
for Internet display, typically 72ppi, do not possess sufficient
resolution to enable effective print. Employing the quality factor
and subsequently adhering to image resolution recommendations ensures
an appropriate balance between print quality and physical file size.
image
resolution and comparison
Often
times images are captured from Web sites or other methods that store
images at 72 dpi (monitor resolution). When this low resolution
image is printed, image detail will be lost, and the image will
appear jagged.
image
resolution standards
Raster images
can be classified as either monochrome, tone, or combination tone.
It is important to maintain minimum resolution settings for each
file type. Low resolution images are one of the leading causes of
art resubmission and schedule delays.
Monochrome
(1-bit) images, typically scanned from line art and/or text originals,
are comprised of a single bit of data. Since each bit (binary digit)
can be represented only as either a zero or a one, pixels within
a monochrome image can have only two states: black or white. Monochrome
images generally require higher resolution (more pixels per inch)
than tone images in order to prevent aliasing (stair-stepped appearance)
of diagonal lines. The suggested minimum resolution for this type
of image is between 900 and 1200 dpi. See the chart below for details.
Tones,
typically captured from continuous-tone photographs, are comprised
of 8-bit data (represented as 256 different levels for grayscale
images). Color tones contain eight bits of data per channel (i.e.,
per color); thus, a CMYK tone contains 32 bits of information (and
256 levels each for cyan, magenta, yellow, and black). The suggested
minimum resolution for this type of image is 300 dpi. See the chart
below for details.
Combination
tones contain both tone and text/line art elements. Consequently,
like tones, combination tones are comprised of 8-bits of data per
color channel. Thus, combination tones are saved as either grayscale
or CMYK color mode. Because combination tones contain text/line
art elements, however, the level of resolution employed must be
compromised to address aliasing versus physical file size. The suggested
minimum resolution for this type of image is between 500 and 900
dpi. See the chart below for details.
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TYPE
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EXAMPLE
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FORMAT
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COLOR
MODE
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RESOLUTION
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Tiff
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Monochrome
1-bit
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900
- 1200dpi
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Tiff
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Grayscale
or CMYK
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300dpi
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Tiff/Eps
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Grayscale
or CMYK
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500
- 900 dpi
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effective
resolution
We
have only covered half of the resolution story on this page. To
complicate matters even further, scaling of artwork must also be
considered in the resolution formula. The result of scaling is known
as effective resolution.
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