From 77155d48436173c48af109b5bcd5ad2c65cd05f9 Mon Sep 17 00:00:00 2001 From: diego Date: Sun, 14 Sep 2008 22:46:38 +0000 Subject: [PATCH] wording/spelling git-svn-id: file:///var/local/repositories/ffmpeg/trunk@15333 9553f0bf-9b14-0410-a0b8-cfaf0461ba5b --- doc/swscale.txt | 59 ++++++++++++++++++++++++++++----------------------------- 1 file changed, 29 insertions(+), 30 deletions(-) diff --git a/doc/swscale.txt b/doc/swscale.txt index e581d6263c..5909bf150a 100644 --- a/doc/swscale.txt +++ b/doc/swscale.txt @@ -26,7 +26,7 @@ Current (simplified) Architecture: Swscale has 2 scaler paths. Each side must be capable of handling slices, that is, consecutive non-overlapping rectangles of dimension -(0,slice_top) - (picture_width, slice_bottom) +(0,slice_top) - (picture_width, slice_bottom). special converter These generally are unscaled converters of common @@ -37,64 +37,63 @@ Main path The main path is used when no special converter can be used. The code is designed as a destination line pull architecture. That is, for each output line the vertical scaler pulls lines from a ring buffer. When - the ring buffer does not contain the wanted line then it is pulled from - the input slice through the input converter and horizontal scaler, and - the result is also stored in the ring buffer to serve future vertical + the ring buffer does not contain the wanted line, then it is pulled from + the input slice through the input converter and horizontal scaler. + The result is also stored in the ring buffer to serve future vertical scaler requests. When no more output can be generated because lines from a future slice would be needed, then all remaining lines in the current slice are converted, horizontally scaled and put in the ring buffer. - [this is done for luma and chroma, each with possibly different numbers - of lines per picture] + [This is done for luma and chroma, each with possibly different numbers + of lines per picture.] Input to YUV Converter - When the input to the main path is not planar 8bit per component yuv or - 8bit gray then it is converted to planar 8bit YUV. 2 sets of converters - exist for this currently, one performing horizontal downscaling by 2 - before the conversion and the other leaving the full chroma resolution - but being slightly slower. The scaler will try to preserve full chroma + When the input to the main path is not planar 8 bits per component YUV or + 8-bit gray then it is converted to planar 8-bit YUV. 2 sets of converters + exist for this currently: One performs horizontal downscaling by 2 + before the conversion, the other leaves the full chroma resolution + but is slightly slower. The scaler will try to preserve full chroma here when the output uses it. It is possible to force full chroma with - SWS_FULL_CHR_H_INP though even for cases where the scaler thinks it is - useless. + SWS_FULL_CHR_H_INP even for cases where the scaler thinks it is useless. Horizontal scaler There are several horizontal scalers. A special case worth mentioning is - the fast bilinear scaler that is made of runtime generated MMX2 code + the fast bilinear scaler that is made of runtime-generated MMX2 code using specially tuned pshufw instructions. - The remaining scalers are specially tuned for various filter lengths. - They scale 8bit unsigned planar data to 16bit signed planar data. - Future >8bit per component inputs will need to add a new scaler here + The remaining scalers are specially-tuned for various filter lengths. + They scale 8-bit unsigned planar data to 16-bit signed planar data. + Future >8 bits per component inputs will need to add a new scaler here that preserves the input precision. Vertical scaler and output converter - There is a large number of combined vertical scalers+output converters + There is a large number of combined vertical scalers + output converters. Some are: * unscaled output converters * unscaled output converters that average 2 chroma lines * bilinear converters (C, MMX and accurate MMX) * arbitrary filter length converters (C, MMX and accurate MMX) And - * Plain C 8bit 4:2:2 YUV -> RGB converters using LUTs - * Plain C 17bit 4:4:4 YUV -> RGB converters using multiplies - * MMX 11bit 4:2:2 YUV -> RGB converters - * Plain C 16bit Y -> 16bit gray + * Plain C 8-bit 4:2:2 YUV -> RGB converters using LUTs + * Plain C 17-bit 4:4:4 YUV -> RGB converters using multiplies + * MMX 11-bit 4:2:2 YUV -> RGB converters + * Plain C 16-bit Y -> 16-bit gray ... - RGB with less than 8bit per component uses dither to improve the - subjective quality and low frequency accuracy. + RGB with less than 8 bits per component uses dither to improve the + subjective quality and low-frequency accuracy. Filter coefficients: -------------------- -There are several different scalers (bilinear, bicubic, lanczos, area, sinc, ...) -Their coefficients are calculated in initFilter(). -Horizontal filter coeffs have a 1.0 point at 1<<14, vertical ones at 1<<12. -The 1.0 points have been chosen to maximize precision while leaving a -little headroom for convolutional filters like sharpening filters and +There are several different scalers (bilinear, bicubic, lanczos, area, +sinc, ...). Their coefficients are calculated in initFilter(). +Horizontal filter coefficients have a 1.0 point at 1 << 14, vertical ones at +1 << 12. The 1.0 points have been chosen to maximize precision while leaving +a little headroom for convolutional filters like sharpening filters and minimizing SIMD instructions needed to apply them. It would be trivial to use a different 1.0 point if some specific scaler would benefit from it. -Also as already hinted at, initFilter() accepts an optional convolutional +Also, as already hinted at, initFilter() accepts an optional convolutional filter as input that can be used for contrast, saturation, blur, sharpening shift, chroma vs. luma shift, ... -- 2.11.4.GIT