Since we announced WebP, a new image format based on WebM technology and the VP8 codec, we’ve been working hard with the open web community to improve and enhance it. Today we are happy to share news about a few new features and expanded support for WebP.

WebP's compression algorithms have been significantly improved while remaining completely

compatible with the previous releases. We hope the quality of a few sample images in the new gallery will delight you.

On the decoding side, we have integrated a fancy upsampler. Fancy upsampling reduces the pixelation of strong edges. You can see this feature when you zoom in, for example on a WebP image with red edges converted from this PNG original:

We also introduced the ability to incrementally decode the data as your computer downloads it from the web, a feature that allows the browser to display images without having to wait for the whole file to download. This feature is already enabled in Chrome 12.

On the encoding side, to further improve quality, we focused on segmenting the picture into areas with similar compressibility. For each of these segments, we tune the amount of compression and filtering differently, and bits are redistributed where they are most useful. Take for instance the image reproduced below [1]:

The easy segment contains lot of disparate signals and can be compressed more than the difficult one, which will be assigned more bits. In this example, the encoder only used two segments. By using even more segments (up to four), WebP is now able to retain many of the original details of the image [2]. This is in contrast to the frequent ringing artifacts one can clearly see in JPEG images.

The uneven distribution of bits between difficult and easy area is controlled in the new encoder using the -sns parameter, short for Spatial Noise Shaping. Its value can be set from 0 to 100 (0 meaning OFF) and with a default of 80. Note that when you enable SNS, PSNR may be degraded, but the overall visual quality is much improved.

We’ve added simple encoding and decoding example binaries to the libwebp library. In addition, we’ve added JNI support that allows Java programs to decode WebP images. Next up is transparency, also known as Alpha channel; we’re experimenting with it now and planning to add it to the next stable version of the codec. In parallel, we continue to improve the codec’s speed and will release a complete specification for the metadata format.

WebP is now natively supported in Chrome and Opera. Google products including Gmail and Picasa Web Albums, have also added support to WebP so you can share, send and receive WebP images. WebP support is coming to AppEngine. In addition, Google Instant Previews now store images in WebP to reduce their storage needs.

Users that want to manipulate WebP images can now do so using software developed by the community including Pixelmator, ImageMagick, the WebP format plugin for Photoshop and the Java VP8 decoder. The open-source community has also contributed support for Mac OS X with MacPorts packages, Linux Debian, OpenSUSE and Gentoo packages and the Apache HTTP Server. On Windows, users who want to view WebP images natively, can download the WebP codec. This codec brings WebP support to such software as Microsoft Office 2010, Windows Media Center and Photo Edit.

The new features, quality improvements and increased adoption of WebP get us excited about its future. As always, we’re looking for more feedback as well as code contributions from the community. Let us know on the mailing list how your experiments are panning out and what new features you’d like to see in the future.