NVIDIA nvTIFF
nvTIFF is a GPU-accelerated TIFF (Tagged Image File Format) encode/decode library built on the CUDA platform and designed to optimize the handling of large, complex image datasets. TIFF images are widely adopted in industries such as medical Imaging, geospatial analysis, and digital pathology. nvTIFF provides optimized processing capabilities along with support for a wide variety of NVIDIA GPU architectures.
Key Features
Decoder
nvTIFF Decoder supports up to 16 samples per pixel for both tile and strip-based TIFFs, along with support for a wide variety of compression types such as Deflate (via nvCOMP), JPEG (via nvJPEG) and LZW. Additionally, nvTIFF can handle multi-image TIFFs with varying properties and provides APIs to retrieve GeoTIFF metadata, making it highly versatile for a variety of imaging use cases.
Encoder
nvTIFF encoder is optimized for TIFF files in Planar Contiguous mode, supports up to 4 bits per sample, making it suitable for high-quality image encoding. When working with multiple images in a TIFF file, all images must have identical properties for successful compression making nvTIFF a well-suited library for high-performance imaging tasks including application in medical imaging and geospatial analysis.
nvTIFF Performance
Related Libraries
nvImageCodec
The nvImageCodec is a library of accelerated codecs with a unified interface. It is designed as a framework for extension modules, which delivers codec plugins.
nvJPEG/nvJPEG2000
The nvJPEG/nvJPEG2000 are high-performance GPU-accelerated libraries for decoding, encoding, and transcoding JPEG format images.
DALI
The NVIDIA Data Loading Library (DALI) is a portable, open-source software library for decoding and augmenting images, videos, and speech to accelerate deep learning applications.
nvCOMP
NVIDIA nvCOMP is a high-speed data compression and decompression library optimized for NVIDIA GPUs.
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