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libkdcraw/dcrawsettingswidget.cpp:263
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libkdcraw/dcrawsettingswidget.cpp:264
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libkdcraw/dcrawsettingswidget.cpp:265
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libkdcraw/dcrawsettingswidget.cpp:266
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libkdcraw/dcrawsettingswidget.cpp:267
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libkdcraw/dcrawsettingswidget.cpp:268
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<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>
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<title>Kvaliteet (interpoleerimine)</title><para>Siin saab valida toorpiltide dekodeerimisel kasutatava värvirekonstruktsiooni (demosaicing) meetodi. Värvirekonstruktsiooni algoritm on mõeldud terve pildi interpoleerimiseks osaliste toorandmete põhjal, mida edastab digitaalkaamera värvifiltrit kasutav pildisensor värvitud pikslite maatriksi kujul. Seda nimetatakse ka CFA interpoleerimiseks. Toorpiltide värvirekonstruktsiooniks on mitu viisi:</para><para><list><item><emphasis strong='true'>Bilineaarne</emphasis>: kasutatakse väga kiiret, aga kesise kvaliteediga bilineaarset interpoleerimist (aeglasematel arvutitel on see samas väga mõistlik, sellepärast on see ka vaikeväärtus). Selle korral arvutatakse mittepunase piksli punase värvi väärtus naabruses asuvate punaste pikslite keskmisena; sama kehtib ka sinise ja rohelise kohta.</item><item><emphasis strong='true'>VNG</emphasis>: kasutatakse üleminekute muutarvu (Variable Number of Gradients) interpoleerimist. See arvutab üleminekud huvipakkuva piksli läheduses ja kasutab hindamiseks väiksema väärtusega üleminekuid (need esindavad ühtlasemaid pildiosi).</item><item><emphasis strong='true'>PPG</emphasis>: kasutatakse pikslite mustri alusel rühmitamise (Patterned Pixel Grouping) interpoleerimist. Pikslite rühmitamisel võetakse hindamisel aluseks loodusvaated. Loodusvaadete puhul tekib artefakte vähem kui üleminekute muutarvu interpoleerimise korral.</item><item><emphasis strong='true'>AHD</emphasis>: kasutatakse adaptiivset homogeensust arvestavat (Adaptive Homogenity-Directed) interpoleerimist. Selle korral valitakse interpoleerimise suund maksimaalselt homogeensust arvestades, mis tavaliselt võimaldab minimeerida artefaktide esinemist.</item><item><emphasis strong='true'>DCB</emphasis>: DCB interpoleerimine linuxphoto.org projektilt.</item><item><emphasis strong='true'>AHD v2</emphasis>: modifitseeritud AHD interpoleerimine, mis kasutab värvierinevuste varieerumise meetodit.</item><item><emphasis strong='true'>AFD</emphasis>: adaptiivse filtreeritava värvirekonstruktsiooni interpoleerimine viiekäigulise mediaanfiltriga PerfectRaw projektilt.</item><item><emphasis strong='true'>VCD</emphasis>: värvierinevuste varieeruvuse interpoleerimine.</item><item><emphasis strong='true'>VCD & AHD</emphasis>: värvirekonstruktsiooni segavariant, ühendab VCD ja AHD.</item><item><emphasis strong='true'>LMMSE</emphasis>: värvirekonstruktsioon suunatud lineaarse minimaalse keskmise ruutvea hinnangu interpoleerimine PerfectRaw'lt.</item><item><emphasis strong='true'>AMaZE</emphasis>: aliasega minimeerimise interpoleerimine ja Zipper Elimination värviaberratsiooni eemaldamiseks RawTherapee projektilt.</item></list></para>
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libkdcraw/dcrawsettingswidget.cpp:271
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