Butteraugli
From Avisynth wiki
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(Butteraugli 2.0.1) |
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{{Filter3 | {{Filter3 | ||
| 1={{Author/Asd-g}} | | 1={{Author/Asd-g}} | ||
| − | | 2=v2.0. | + | | 2=v2.0.1 |
| 3=[https://github.com/Asd-g/AviSynthPlus-Butteraugli/releases/ Butteraugli] | | 3=[https://github.com/Asd-g/AviSynthPlus-Butteraugli/releases/ Butteraugli] | ||
| 4=Debug filter | | 4=Debug filter | ||
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== Changelog == | == Changelog == | ||
Version Date Changes<br> | Version Date Changes<br> | ||
| + | v2.0.1 2022/12/04 - Changed to be slightly more sensitive to low freq (DC) errors.<br> | ||
v2.0.0 2021/10/20 - Updated to butteraugli library from libjxl.<br> | v2.0.0 2021/10/20 - Updated to butteraugli library from libjxl.<br> | ||
v1.1.0 2020/11/06 - Added support for 10..32-bit clips. | v1.1.0 2020/11/06 - Added support for 10..32-bit clips. | ||
Latest revision as of 08:14, 18 May 2023
| Abstract | |
|---|---|
| Author | Asd-g |
| Version | v2.0.1 |
| Download | Butteraugli |
| Category | Debug filter |
| License | GPLv3 |
| Discussion | |
Contents |
[edit] Description
Butteraugli estimating filter for the psychovisual similarity of two images.
A quality metric for lossy image and video compression.
This is a port of the VapourSynth plugin butteraugli.
libjxl's Butteraugli is used.
[edit] Requirements
- AviSynth+ >=3.6 required in order to use this filter.
- [x86] AviSynth+
- [x64] AviSynth+
- Supported color formats: Planar RGB (8-32bit)
[edit] Syntax and Parameters
- Butteraugli (clip reference, clip distorted, bool "distmap", float "intensity_target", bool "linput")
- reference =
- distorted =
- Clips that are use for estimating the psychovisual similarity. They must be in planar RGB format (8-32bit).
- reference =
- bool distmap = false
- Whether to return heatmap instead of distorted clip
- bool distmap = false
- float intensity_target = 80.0
- Viewing conditions screen nits
- float intensity_target = 80.0
- bool linput = false
- True: The input clips must have linear transfer functions.
- False: The input clips are assumed in sRGB color space and internal conversion to linear transfer function is done.
- bool linput = false
- The psychovisual similarity of the clips will be stored as frame property '_FrameButteraugli' in the output clip. Larger values indicate to bigger difference.
[edit] Examples
# Return the difference between the clips with displayed all frame properties alongside with '_FrameButteraugli' Butteraugli(clip1, clip2, distmap=true, linput=false) propShow()
# Return clip2 with displayed the value of the frame property '_FrameButteraugli'.
Butteraugli(clip1, clip2, linput=false)
ScriptClip("""Subtitle(String(propGetFloat("_FrameButteraugli")))""")
[edit] Changelog
Version Date Changes
v2.0.1 2022/12/04 - Changed to be slightly more sensitive to low freq (DC) errors.
v2.0.0 2021/10/20 - Updated to butteraugli library from libjxl.
v1.1.0 2020/11/06 - Added support for 10..32-bit clips. - Added parameters 'hf_asymmetry' and 'linput'.
v1.0.2 2020/11/02 - Registered as MT_MULTI_INSTANCE. - Used faster butteraugli lib.
v1.0.0 2020/10/31 - Initial release
[edit] External Links
- GitHub - Source code repository.
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