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wording/spelling
Originally committed as revision 15333 to svn://svn.ffmpeg.org/ffmpeg/trunk
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@ -26,7 +26,7 @@ Current (simplified) Architecture:
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Swscale has 2 scaler paths. Each side must be capable of handling
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slices, that is, consecutive non-overlapping rectangles of dimension
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(0,slice_top) - (picture_width, slice_bottom)
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(0,slice_top) - (picture_width, slice_bottom).
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special converter
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These generally are unscaled converters of common
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@ -37,64 +37,63 @@ Main path
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The main path is used when no special converter can be used. The code
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is designed as a destination line pull architecture. That is, for each
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output line the vertical scaler pulls lines from a ring buffer. When
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the ring buffer does not contain the wanted line then it is pulled from
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the input slice through the input converter and horizontal scaler, and
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the result is also stored in the ring buffer to serve future vertical
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the ring buffer does not contain the wanted line, then it is pulled from
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the input slice through the input converter and horizontal scaler.
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The result is also stored in the ring buffer to serve future vertical
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scaler requests.
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When no more output can be generated because lines from a future slice
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would be needed, then all remaining lines in the current slice are
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converted, horizontally scaled and put in the ring buffer.
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[this is done for luma and chroma, each with possibly different numbers
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of lines per picture]
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[This is done for luma and chroma, each with possibly different numbers
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of lines per picture.]
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Input to YUV Converter
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When the input to the main path is not planar 8bit per component yuv or
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8bit gray then it is converted to planar 8bit YUV. 2 sets of converters
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exist for this currently, one performing horizontal downscaling by 2
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before the conversion and the other leaving the full chroma resolution
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but being slightly slower. The scaler will try to preserve full chroma
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When the input to the main path is not planar 8 bits per component YUV or
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8-bit gray then it is converted to planar 8-bit YUV. 2 sets of converters
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exist for this currently: One performs horizontal downscaling by 2
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before the conversion, the other leaves the full chroma resolution
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but is slightly slower. The scaler will try to preserve full chroma
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here when the output uses it. It is possible to force full chroma with
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SWS_FULL_CHR_H_INP though even for cases where the scaler thinks it is
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useless.
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SWS_FULL_CHR_H_INP even for cases where the scaler thinks it is useless.
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Horizontal scaler
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There are several horizontal scalers. A special case worth mentioning is
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the fast bilinear scaler that is made of runtime generated MMX2 code
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the fast bilinear scaler that is made of runtime-generated MMX2 code
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using specially tuned pshufw instructions.
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The remaining scalers are specially tuned for various filter lengths.
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They scale 8bit unsigned planar data to 16bit signed planar data.
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Future >8bit per component inputs will need to add a new scaler here
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The remaining scalers are specially-tuned for various filter lengths.
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They scale 8-bit unsigned planar data to 16-bit signed planar data.
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Future >8 bits per component inputs will need to add a new scaler here
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that preserves the input precision.
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Vertical scaler and output converter
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There is a large number of combined vertical scalers+output converters
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There is a large number of combined vertical scalers + output converters.
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Some are:
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* unscaled output converters
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* unscaled output converters that average 2 chroma lines
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* bilinear converters (C, MMX and accurate MMX)
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* arbitrary filter length converters (C, MMX and accurate MMX)
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And
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* Plain C 8bit 4:2:2 YUV -> RGB converters using LUTs
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* Plain C 17bit 4:4:4 YUV -> RGB converters using multiplies
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* MMX 11bit 4:2:2 YUV -> RGB converters
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* Plain C 16bit Y -> 16bit gray
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* Plain C 8-bit 4:2:2 YUV -> RGB converters using LUTs
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* Plain C 17-bit 4:4:4 YUV -> RGB converters using multiplies
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* MMX 11-bit 4:2:2 YUV -> RGB converters
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* Plain C 16-bit Y -> 16-bit gray
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...
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RGB with less than 8bit per component uses dither to improve the
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subjective quality and low frequency accuracy.
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RGB with less than 8 bits per component uses dither to improve the
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subjective quality and low-frequency accuracy.
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Filter coefficients:
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--------------------
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There are several different scalers (bilinear, bicubic, lanczos, area, sinc, ...)
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Their coefficients are calculated in initFilter().
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Horizontal filter coeffs have a 1.0 point at 1<<14, vertical ones at 1<<12.
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The 1.0 points have been chosen to maximize precision while leaving a
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little headroom for convolutional filters like sharpening filters and
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There are several different scalers (bilinear, bicubic, lanczos, area,
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sinc, ...). Their coefficients are calculated in initFilter().
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Horizontal filter coefficients have a 1.0 point at 1 << 14, vertical ones at
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1 << 12. The 1.0 points have been chosen to maximize precision while leaving
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a little headroom for convolutional filters like sharpening filters and
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minimizing SIMD instructions needed to apply them.
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It would be trivial to use a different 1.0 point if some specific scaler
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would benefit from it.
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Also as already hinted at, initFilter() accepts an optional convolutional
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Also, as already hinted at, initFilter() accepts an optional convolutional
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filter as input that can be used for contrast, saturation, blur, sharpening
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shift, chroma vs. luma shift, ...
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