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Paper Conservation: Decisions & Compromises

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Fig. 2<br />

incorporate scale bars in images. Without user<br />

intervention distances and areas on a digital<br />

plane are expressed in pixels and square pixels.<br />

Once the distance in pixels is known then the<br />

preferred unit (μm, mm, etc.) can be added. Any<br />

future measurements made on the image will<br />

present quantities in the newly assigned unit.<br />

4. Watermark Extraction<br />

Bandpass filter: The subject of interest of an<br />

image for a particular user can sometimes be<br />

obscured by other features such as a watermark<br />

hidden under lines of text. Bandpass filters can<br />

be used in ImageJ to filter out unwanted pixel<br />

structures. An upper size limit filters out large<br />

structures (shading correction) and a lower limit<br />

filters out small structures (smoothing). ImageJ<br />

uses a Gaussian filter in Fourier space allowing<br />

isolation of important features for research.<br />

There is an extra option to suppress horizontal<br />

or vertical stripes, which is similar to subtracting<br />

an image that is only blurred in the horizontal<br />

or vertical direction in the original.<br />

5. Colour Management<br />

RGB Pixel Values: Colour charts should always<br />

be included in the image capture procedure to<br />

ensure that the RGB pixel values of the object being<br />

imaged can be compared to a standard. This<br />

is important in cultural heritage for the accurate<br />

preservation of colour in collection items, specifically<br />

photographic collections and illuminated<br />

manuscripts.<br />

Colour is expressed as an RGB triplet (r,g,b),<br />

each component of which can vary from zero<br />

to a defined maximum value. This value can be<br />

determined with ImageJ. If all of the RGB components<br />

of an image are at zero, then the image is<br />

black. Conversely if all of the RGB values are at a<br />

maximum, then the image is white.<br />

6. Provenance Determination<br />

Colour Space Converter: Converting images<br />

from the RGB to other colour spaces can reveal<br />

hidden text and help determine the provenance<br />

of archival material. Colour can be specified by<br />

three parameters in a colour space and there<br />

are mathematical relationships that enable<br />

the parameters of one colour space to be transformed<br />

into another. The colour of an image is<br />

most often described in terms of the percentage<br />

of red, green and blue hues combined. Images<br />

such as these exist in RGB colour space, but there<br />

are other ways to describe the colour of a pixel<br />

using different colour spaces. Alternative ways<br />

of describing colour numerically are useful for<br />

making certain calculations easier and making<br />

colour identification more intuitive such as by<br />

describing colours by their hue, saturation and<br />

luminance.<br />

Two ImageJ plugins allow for the conversion<br />

of a standard RGB image into another colour<br />

space called ‘Colour Transformer’ (Barilla 2012)<br />

and ‘Colour Space Converter’ (Schwartzwald<br />

2007). ImageJ can generate as many as fifty-two<br />

combinations of the original image in different<br />

colour spaces.<br />

7. Degradation Monitoring<br />

Stacks: Degradation features in a collection<br />

item can be monitored over time by comparing<br />

sequential images. An image stack is a collection<br />

of images of the same size and bit depth usually<br />

taken over the same region of interest where<br />

the scene is not changing due to motion. ImageJ<br />

can display these spatially or temporally related<br />

ICOM-CC Graphic Documents Working Group Interim Meeting | Vienna 17 – 19 April 2013<br />

128

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