guetzli
Perceptual JPEG encoder that optimizes for visual quality at small file sizes
TLDR
SYNOPSIS
guetzli [--quality Q] [--verbose] input output.jpg
DESCRIPTION
Guetzli is a JPEG encoder that targets the human visual system. It uses Butteraugli, a psychovisual model, to search the JPEG quantization space and produce baseline-compatible JPEG files that are typically 20-30% smaller than equivalent libjpeg output at the same perceived quality.Output files are compatible with all standard JPEG decoders. The trade-off is encoding cost: guetzli is computationally and memory intensive.
PARAMETERS
input
Source image. PNG and JPEG inputs are supported.output.jpg
Destination JPEG file.--quality Q
Visual quality, expressed in libjpeg-equivalent units. Range 84-100, default 95. Values below 84 are not supported.--verbose
Print a trace of encoding attempts.
CAVEATS
Very slow: encoding a single megapixel can take a minute or more. Memory usage is roughly 300 MB per megapixel. Only quality values 84-100 are accepted. Best results come from non-degraded sources (PNG or high-quality JPEG); re-encoding heavily compressed JPEGs offers limited gains.
HISTORY
Guetzli was developed by Google Research and released as open source in March 2017 alongside the Butteraugli perceptual distance metric.
