Using the Boost Transfer Function Option
This example illustrates how the Boost
transfer function option can be used to reveal
faint nebulous structure in and around the region of the Great
Orion Nebula, M42. This field shows a great deal of weak nebulous
structure that merges into the sky background. The ability to
distinguish subtly changing image features is important for many
imaging applications in which important detail is compressed into a
narrow range of intensity. Boost is
generally useful for visually evaluating all the information held
in the image. Its benefits include the following:
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Boost works with all other transfer function
parameters.
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Boost works on intensity (non RGB) images of all
pixel types, from 8-bit integer to 64-bit real.
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Boost can be applied as a
default transfer
function parameter or after displaying the image.
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Boost can be toggled on/off after an image is
displayed, for example, to identify some particular weak feature
without keeping the image in a boosted state.
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The Boost algorithm is very fast.
Using the Boost Option
The Boost option
enhances the current transfer function settings by identifying and
expanding compressed ranges of pixel value, usually without
saturating large bright regions of the image or thresholding large
dark regions of the image. In astronomical images, contrast
expansion is beneficial for revealing subtle details where the
object merges into the sky background. The most striking
improvement often results from applying Boost to a Gamma or Linear stretch. The results are
identical regardless of whether it is applied to existing transfer
function parameters or if the other transfer function parameters
are changed while Boost is enabled. It
is important to experiment by viewing images having varying content
and changing Boost along with other transfer function
parameters.
Comparing Results with and without Boost
The image used below shows the Orion Nebula, M42,
in a calibrated 32-bit real image that is the calibrated and
combined result of 33 x 10-second CCD images acquired with the 20
inch F/1 Baker-Nunn Schmidt camera at Rothney Observatory of the
University of Calgary. The star halos are an artifact of the
original images. Image courtesy of Dr. Phil Langill of the
University of Calgary.
Figure 1: Image centered on the nebula M42
displayed with a strong gamma stretch and auto-scaled with a wide
range of 99.5%. Note that this stretch and scaling lifts the
background above black to show faint structure near the sky
level.
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Figure 2: Image from Figure 1 after changing the
transfer function range from 99.5% to 99.9%. This shift the
background toward black but obscures some faint nebulosity near the
sky level.
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Figure 3: Image from Figure 2 immediately after
checking the Boost option. This applies
the Boost algorithm to the current transfer function parameters.
Notice the great enhancement in faint structure while retaining a
smooth gradient in the brighter regions. The enhancement may be
reversed by unchecking the option.
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Figure 4a: The image from Figure 3 after using the
Palette Properties dialog to apply a red pseudocolor
palette. Pseudo color can help reveal delicate structures and
separate details by pixel value. In this example, it helps separate
weak features of M42 from the true background which remains
black.
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Figure 4b: The
Palette Properties dialog showing the red pseudocolor
palette used in Figure 4a. This palette, named "Red + White," is
included with the Mira installation.
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Figure 5: Inverting the palette in Figure 4b can
often be used to make faint details easier to distinguish by using
a white sky background.
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Related Topics
Transfer Functions
Choosing Transfer Function Properties
Transfer Function Pane
Transfer
Function Properties
Transfer Function Popup Menus
Mira Pro x64 User's Guide, Copyright Ⓒ 2023 Mirametrics, Inc. All
Rights Reserved.
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