NVIDIA nvJPEG2000#

The nvJPEG2000 library accelerates the decoding and encoding of JPEG2000 images on NVIDIA GPUs. The library is built on the CUDA platform and is supported on Pascal+ GPU architectures.

Note

Throughout this document, the terms “CPU” and “Host” are used synonymously. Similarly, the terms “GPU” and “Device” are synonymous.

Decoder#

The library utilizes both CPU and GPU for decoding. Tier 2 decode stage (first stage of decode; please refer to the JPEG2000 specification for details) is run on the CPU. All other stages of the decoding process are offloaded to the GPU.

The nvJPEG2000 decoder supports the following:

JPEG2000 Options:

  • Up to 16 bits per component

  • No of components : 4

  • Reversible(5-3) and irreversible(9-7) wavelet transforms

  • Multiple tiles per image

  • Up to 32 layers per image

  • Chroma sub-sampling types - 444, 422, and 420

  • All progression orders

  • Image and tile start coordinates should be 0

  • Tile/Resolution based decoding

  • Partial decoding of tiles and images

  • jp2 file format and jpeg2000 codestream

  • High throughput jpeg2000(All code-blocks have to be HT code-blocks with one HT set and no refinement)

Features:

  • Decode multiple images in pipeline mode. Refer to nvJPEG2000-Decoder-Pipelined sample for details.

  • Color conversion to RGB.

  • Both planar and interleaved outputs are supported.

Encoder#

The library utilizes both GPU and CPU to create JPEG2000 bitstreams. The encode APIs require that the input image is on device memory, and the compressed bitstream will be written to host memory.

The nvJPEG2000 encoder supports the following:

JPEG2000 options

  • Up to 16 bits per component

  • No of components : 4

  • Reversible(5-3) and irreversible(9-7) wavelet transforms

  • Multiple tiles per image

  • Single layer per image

  • All progression orders

  • Chroma sub-sampling types - 444, 422, and 420

  • jp2 file format and jpeg2000 codestream

  • Lossy encode using one of the following options

    • Quantization step

    • Q-Factor (JPEG like quality)

    • PSNR

Features

  • Both planar and interleaved inputs are supported.

Prerequisites#

  • CUDA Toolkit version 12.0 and above

  • CUDA Driver version r525 and above

Platforms Supported#

  • Linux versions:

Architecture

Distribution Information

Name

Version

GCC

GLIBC

x86_64

RHEL / Rocky Linux

10

14.2.1

2.39

9

11.5.0

2.34

8

8.5.0

2.28

Ubuntu

24.04

13.2.0

2.39

22.04

12.3.0

2.34

OpenSUSE Leap

15

7.5.0

2.38

SUSE SLES

15

7.5.0

2.38

Debian

12

12.2.0

2.36

Fedora

42

15.1.1

2.41

arm64-sbsa

RHEL

10

14.2.1

2.39

9

11.3.1

2.34

8

8.5.0

2.28

Ubuntu

24.04

13.3.0

2.39

22.04

11.4.0

2.35

SUSE SLES

15

7.5.0

2.38

Debian

12

12.2.0

2.36

  • Windows Versions

    • Windows 10/11.

  • Tegra

    • arm64-sbsa builds are supported on Thor starting CUDA 13.0.

    • aarch64-jetson binaries based on CUDA 12 are available for Orin.

Thread Safety#

Not all nvJPEG2000 types are thread safe. The following should be instantiated separately for each thread: nvjpeg2kDecodeState_t, nvjpeg2kStream_t, and nvjpeg2kEncodeState_t.