#J2K SWITCHED UP HOW TO#
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By using 10 CUDA streams, up to 10 tiles are being decoded in parallel at any point during the decode process.įigure 3. Nsight Systems trace in Figure 3 shows the decoding of Sentinel 2 data set consisting of 12 bands. By taking this approach, you can simultaneously decode multiple tiles on the GPU.

#J2K SWITCHED UP HOW TO#

The GitHub multitile decode sample demonstrates how to decode each tile on a separate cudaStream_t. To speed up the decode of multitile images, a new API called nvjpeg2kDecodeTile has been added in nvJPEG2000 v 0.2, which enables you to decode each tile independently.įor multitile images, decoding each tile sequentially would be suboptimal.

The image in Figure 2 is subdivided into 121 tiles. The imaging data has 12 bands or channels and each of them is stored as an independent JPEG 2000 bitstream. Sentinel 2 level 2A data downloaded from the Copernicus hub can be used with the nvJPEG2000 decoding examples. Imaging data captured by the European Space Agency’s Sentinel 2 satellites are stored as JPEG 2000 bitstreams.

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In this section, we concentrate on the new nvJPEG2000 API tailored for the geospatial domain, which enables decoding specific tiles within an image instead of decoding the full image.įigure 2. For more information about the wavelet transforms, see Section F of the JPEG 2000 Core coding system specification. The JPEG 2000 core coding system allows for two types of wavelet transforms (5-3 Reversible and 9-7 Irreversible), both of which benefit from GPU acceleration. For more information about the entropy decode process, see Section C of the JPEG 2000 Core coding system specification. In JPEG 2000, the entropy decode stage is applied at a block-based granularity (typical block sizes are 64×64 and 32×32) that makes it possible to offload the entropy decode stage entirely to the GPU.

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The entropy decode algorithm used in the legacy JPEG codec was serial in nature and was hard to parallelize. The Tier1 Decode (entropy decode) stage is the most compute-intensive stage of the entire decode process. All remaining stages are offloaded to the GPU as shown in green. Stages run on the CPU are denoted by the first two blue boxes. GPU-accelerated JPEG 2000 decode process. Figure 1 overviews the decoding stages that nvJPEG2000 accelerates.įigure 1.

It supports codec features commonly used in geospatial imaging, remote sensing, and digital pathology. nvJPEG2000 is a new library that accelerates the decoding of JPEG 2000 images on NVIDIA GPUs. Through GPU acceleration, images can be decoded in parallel and larger images can be processed quicker. The JPEG 2000 feature set provides ample opportunities for GPU acceleration when compared to its predecessor, JPEG. GPU acceleration using the nvJPEG2000 library JPEG 2000 is also widely used in digital pathology and geospatial imaging, where image dimensions exceed 4K but regions of interest (ROI) stay small. To date, the standard has expanded to 17 parts, covering areas like Motion JPEG2000 (Part 3) which extends the standard for video, extensions for three-dimensional data (Part 10), and so on.įeatures like mathematically lossless compression and large precision and higher dynamic range per component helped JPEG 2000 find adoption in digital cinema applications. Part 1 of the JPEG 2000 standard, which forms the core coding system, was first approved in August 2002. j2k) is an image compression standard defined by the Joint Photographers Expert Group (JPEG) as the more flexible successor to the still popular JPEG standard.

J2k switched up