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7.

<p><b>Do not stretch or rotate pixels</b><p>For Fuji Super CCD cameras, show the image tilted 45 degrees. For cameras with non-square pixels, do not stretch the image to its correct aspect ratio. In any case, this option guarantees that each output pixel corresponds to one RAW pixel.<p>

8.

Quality:

9.

Bilinear

10.

VNG

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PPG

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AHD

13.

<p><b>Quality (interpolation)</b><p>Select here the demosaicing RAW images decoding interpolation method. 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. There are 4 methods to demosaicing RAW images:<p><b>Bilinear</b>: use high-speed but low-quality bilinear interpolation (default - for slow computer). In this method, the red value of a non-red pixel is computed as the average of the adjacent red pixels, and similar for blue and green.<p><b>VNG</b>: 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.<p><b>PPG</b>: 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.<p><b>AHD</b>: use Adaptive Homogeneity-Directed interpolation. This method selects the direction of interpolation so as to maximize a homogeneity metric, thus typically minimizing color artifacts.<p>

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Median:

15.

<p><b>Median Filter</b><p>Set here the passes used by median filter applied after interpolation to Red-Green and Blue-Green channels.

16.

Demosaicing