*.webp¶
WebP is a file format based on the RIFF container specification that, like *.heif and *.avif, builds upon a video codec (VP8) to support 画像の可逆と非可逆圧縮. WebP tends to be largely used for websites, though not all websites support uploading such files. If you self-host you can investigate whether WebP is an improvement over *.jpg or *.png. However, it is not very widely supported by image editors, so if you are doing collaboration with other artists, it may be better to use a different file format.
Krita has supported simple WebP export for a while, but since 5.1 it supports all the export options offered by libwebp.
Export Options:¶
Instead of making you responsible for the precise settings, the WebP exporter will try out different techniques to compress better. You give a goal (a given quality or a certain file size) to aim for, and it will try its best to reach that goal. To do this, it may actually try to redo a given step of the encoding process several times. In the end, what you will have to choose is whether you want a high quality result at the cost of a slow export, or a quick export at the cost of quality.
General:¶
- Preset:
WebP offers some presets for a given type of photo. For stylized images, use Line Drawing, for painterly images, use Portrait or Outdoor Photo.
- Lossless Compression:
Use the lossless compression mode, this is a slightly different algorithm, which is heavier but gives better results for sharp contrasts.
- Quality:
Slider for quality.
With Lossless Compression, 0% means the library will use the fewest amount of algorithmic tricks to reduce file size. This means fast saving times, at the expense of larger files. Conversely, 100% means all algorithmic tricks will be used, leading to the smallest file size, but saving will take longer. The first is best for a situation where speed is more important than size, such as files you share via USB. The latter is useful for situations where the file size can become a problem, such as serving it over the Internet.
Without Lossless Compression, image information considered redundant will be removed, rather than compressed. This means that at 0%, the most information will be lost and thus the smallest file size is achieved. This also reduces the overall quality. Conversely, 100% will remove the least amount of image information and thus maintain quality at the expense of a large file size.
- Trade Off
A slider that allows you to select whether saving speed is more important than quality.
- Dithering:
This enables dithering, which allows storing fewer colors while still keeping good gradients.
Advanced¶
- SNS Strength:
Specifies the strength of the Spatial Noise Shaping algorithm, which tries to see if parts of the image can be better compressed than other parts.
- Filter Strength:
Strength of the deblocking filter. 0% will mean there's no filtering after decoding, with increasing filter strength the image will appear smoother.
- Filter Sharpness:
Defines the sharpness of the deblocking filter, with 0 being the sharpest and 7 being the least sharp.
- Filter Type:
Type of deblocking filter, options are Strong and Simple.
- Alpha Plane Compression:
Whether to losslessly compress the alpha channel (Lossless) or outright discard it (None). None
- Predictive Filtering for Alpha Plane:
Whether to use predictive filtering for the alpha/transparency. Best will try all potential predictive filter modes before deciding which one to use, making it slower than Fast, which just makes a guess and selects that.
- Alpha Plane Quality:
Compression quality for the alpha channel. 0% means smallest size, 100% means no compression. Only with Alpha Plane Compression set to Lossless.
- Show Compressed:
Tells libwebp to skip the in-loop filtering step. May adversely affect the quality of the end file.
- Multithreaded Encoding:
Use multithreading for encoding if possible.
- Reduce Memory Usage:
Try to reduce memory usage at the cost of speed.
- Exact:
Preserve RGB values in transparent areas instead of defaulting them to transparent black.
- Use Sharp YUV:
Whether to use the slower, but more accurate, RGB to YUV conversion.
Lossy Compression¶
The following options only apply if Lossless Compression is off.
- Target Size:
Specify the amount of bytes to aim for.
- Target PSNR:
PSNR means Peak Signal to Noise Ratio <https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio_>, and indicates how much noise the image has. Higher values mean less noise is accepted.
- Segments:
How many segments the VP8 video codec can divide the image into. VP8 accepts between 1 and 4 segments.
- Partitions:
Sets how many partitions can the VP8 codec use for storing decompression information. Must be between 0 and 3. Default is 0 to make decoding easier.
- Auto Adjust Filter Strength:
The encoder will spend some time tuning and selecting the best filter options before encoding.
- Entropy Passes:
Number of passes to do for selecting the best option between target size and target PSNR.
- Emulate JPEG Size:
The encoder will try to match the size of a jpeg of similar dimensions.
- Minimum Quality:
Used with 'entropy passes', the lowest allowed quality for the image.
- Maximum Quality:
Used with 'entropy passes', the highest allowed quality for the image.
- Preprocessing Filter:
Whether or not to add Pseudo Random Dithering to the image before converting RGB to YUV.
Lossless compression¶
The following options only work with Lossless Compression on.
- Partition Limit:
Limit how big a given segment is in bytes. The higher this is, the less possible information is stored per segment.
- Near Lossless:
The encoder is able to minimally adjust pixel-values so they compress better in lossless compression mode. This enables this feature. Automatically triggers Lossless Compression.