Butteraugli

Abstract
Author	Asd-g
Version	v2.0.1
Download	Butteraugli
Category	Debug filter
License	GPLv3
Discussion

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.

Requirements

• AviSynth+ >=3.6 required in order to use this filter.
• [x86] AviSynth+
• [x64] AviSynth+
• Supported color formats: Planar RGB (8-32bit)

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).

bool  distmap = false

Whether to return heatmap instead of distorted clip

float  intensity_target = 80.0

Viewing conditions screen nits

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.

The psychovisual similarity of the clips will be stored as frame property '_FrameButteraugli' in the output clip. Larger values indicate to bigger difference.

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")))""")

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

External Links

• GitHub - Source code repository.

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