The 2022.1 release provides a range of algorithms, includes:
- JPEG decoding: one L2 API is provided for accelerating entire JPEG decoding process, which supports the ‘Sequential DCT-based mode’ of ISO/IEC 10918-1 standard. It can process 1 Huffman token and create up to 8 DCT coefficients within one cycle. It is also an easy-to-use decoder as it can directly parse the JPEG file header without help of software functions. In addition, L1 API is provided for Huffman decoding.
- Pik encoding: 3 L2 APIs are provided for accelerating about 90% workload of lossy compression in Google’s pik. The pikEnc used the ‘fast mode’ of pik encoder which can provide better encoding efficiency than most of other still image encoding methods.
- WebP encoding: 2 L2 APIs are provided for accelerating about 90% workload of lossy compression in WebP which is a popular image format developed by Google and supported in Chrome, Opera and Android, that is optimized to enable faster and smaller images on the Web.
- Lepton encoding: the API ‘jpegDecLeptonEnc’ can be used for accelerating the encoding process for a new image format ‘Lepton’ developed by Dropbox. The format can save about 22% size of JPEG images losslessly.
- JPEG-XL encoding: 3 L2 APIs are provided for accelerating the lossy encoding process of the JPEG XL Image Coding System (ISO/IEC 18181). Currently, not all computing intensive modules are offloaded, and more accelerating APIs will be available in feature.
- Bicubic resizing: the L2 APIs ‘resizeTop’ is based on bicubic algorithm, which can take 1 or 8 input samples per cycle. When taking 8 samples, it can process 80 8K images per second. Although resizing is not a coding or encoding algorithm, it is widely used with image codecs in image transcoding applications.