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11.
PPG
Context:
@item:inlistbox Quality
(no translation yet)
Located in libkdcraw/dcrawsettingswidget.cpp:258
12.
AHD
Context:
@item:inlistbox Quality
(no translation yet)
Located in libkdcraw/dcrawsettingswidget.cpp:259
13.
DCB
Context:
@item:inlistbox Quality
(no translation yet)
Located in libkdcraw/dcrawsettingswidget.cpp:262
14.
AHD v2
Context:
@item:inlistbox Quality
(no translation yet)
Located in libkdcraw/dcrawsettingswidget.cpp:263
15.
AFD
Context:
@item:inlistbox Quality
(no translation yet)
Located in libkdcraw/dcrawsettingswidget.cpp:264
16.
VCD
Context:
@item:inlistbox Quality
(no translation yet)
Located in libkdcraw/dcrawsettingswidget.cpp:265
17.
VCD & AHD
Context:
@item:inlistbox Quality
(no translation yet)
Located in libkdcraw/dcrawsettingswidget.cpp:266
18.
LMMSE
Context:
@item:inlistbox Quality
(no translation yet)
Located in libkdcraw/dcrawsettingswidget.cpp:267
19.
AMaZE
Context:
@item:inlistbox Quality
(no translation yet)
Located in libkdcraw/dcrawsettingswidget.cpp:268
20.
<title>Quality (interpolation)</title><para>Select here the demosaicing method to use when decoding RAW images. A demosaicing algorithm is a digital image process used to interpolate a complete image from the partial raw data received from the color-filtered image sensor, internal to many digital cameras, in form of a matrix of colored pixels. Also known as CFA interpolation or color reconstruction, another common spelling is demosaicing. The following methods are available for demosaicing RAW images:</para><para><list><item><emphasis strong='true'>Bilinear</emphasis>: use high-speed but low-quality bilinear interpolation (default - for slow computers). In this method, the red value of a non-red pixel is computed as the average of the adjacent red pixels, and similarly for blue and green.</item><item><emphasis strong='true'>VNG</emphasis>: use Variable Number of Gradients interpolation. This method computes gradients near the pixel of interest and uses the lower gradients (representing smoother and more similar parts of the image) to make an estimate.</item><item><emphasis strong='true'>PPG</emphasis>: use Patterned-Pixel-Grouping interpolation. Pixel Grouping uses assumptions about natural scenery in making estimates. It has fewer color artifacts on natural images than the Variable Number of Gradients method.</item><item><emphasis strong='true'>AHD</emphasis>: use Adaptive Homogeneity-Directed interpolation. This method selects the direction of interpolation so as to maximize a homogeneity metric, thus typically minimizing color artifacts.</item><item><emphasis strong='true'>DCB</emphasis>: DCB interpolation from linuxphoto.org project.</item><item><emphasis strong='true'>AHD v2</emphasis>: modified AHD interpolation using Variance of Color Differences method.</item><item><emphasis strong='true'>AFD</emphasis>: Adaptive Filtered Demosaicing interpolation through 5 pass median filter from PerfectRaw project.</item><item><emphasis strong='true'>VCD</emphasis>: Variance of Color Differences interpolation.</item><item><emphasis strong='true'>VCD & AHD</emphasis>: Mixed demosaicing between VCD and AHD.</item><item><emphasis strong='true'>LMMSE</emphasis>: color demosaicing via directional linear minimum mean-square error estimation interpolation from PerfectRaw.</item><item><emphasis strong='true'>AMaZE</emphasis>: Aliasing Minimization interpolation and Zipper Elimination to apply color aberration removal from RawTherapee project.</item></list></para>
Context:
@info:whatsthis
(no translation yet)
Located in libkdcraw/dcrawsettingswidget.cpp:271
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