Results 21 to 30 of about 840,287 (269)
PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework [PDF]
Computer Vision and Pattern Recognition, 2022 Generative model based image lossless compression algorithms have seen a great success in improving compression ratio. However, the throughput for most of them is less than 1 MB/s even with the most advanced AI accelerated chips, preventing them from ...
Ning Kang +4 more
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Parallel Intelligent Compression Method for Synchrotron Radiation Light Source Images [PDF]
Jisuanji gongcheng, 2023 The High-Energy Photon Source(HEPS) under construction generates a large amount of raw data.The images generated by the hard X-ray imaging beamline, which is characterized by a high resolution and high frame rate, occupy the largest storage space, and an
FU Shiyuan, ZHANG Minxing, GAO Yu, WANG Lu, CHENG Yaodong
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iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression [PDF]
Computer Vision and Pattern Recognition, 2021 It is nontrivial to store rapidly growing big data nowadays, which demands high-performance lossless compression techniques. Likelihood-based generative models have witnessed their success on lossless compression, where flow based models are desirable in
Shifeng Zhang +3 more
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IEEE Access, 2023 Lossless image compression is an important research field in image compression. Recently, learning-based lossless image compression methods achieved impressive performance compared with traditional lossless methods, such as WebP, JPEG2000, and FLIF.
Ran Wang +3 more
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Performance analysis of compression algorithms for information security: A Review [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2020 Data compression is a vital part of information security, since compressed data is much more secure and convenient tohandle. Effective data compression technique creates an effective, secure, easy communicable & redundant data.
Neha Sharma, Usha Batra
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LOCO-ANS: An Optimization of JPEG-LS Using an Efficient and Low-Complexity Coder Based on ANS
IEEE Access, 2021 Near-lossless compression is a generalization of lossless compression, where the codec user is able to set the maximum absolute difference (the error tolerance) between the values of an original pixel and the decoded one.
Tobias Alonso +2 more
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ALP: Adaptive Lossless floating-Point Compression
Proc. ACM Manag. Data, 2023 IEEE 754 doubles do not exactly represent most real values, introducing rounding errors in computations and [de]serialization to text. These rounding errors inhibit the use of existing lightweight compression schemes such as Delta and Frame Of Reference (
Azim Afroozeh, Leonardo Kuffò, P. Boncz
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Journal of King Saud University: Computer and Information Sciences, 2022 With the advancements in modern medical imaging systems, the diagnostic image data has increased exponentially. The future medical applications seek medical imaging devices to be portable. Image quality and real-time processing are of prime importance in
Mohd Rafi Lone
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Multiscale deep context modeling for lossless point cloud geometry compression [PDF]
2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2021 We propose a practical deep generative approach for lossless point cloud geometry compression, called MSVoxelDNN, and show that it significantly reduces the rate compared to the MPEG G-PCC codec. Our previous work based on autoregressive models (VoxelDNN
D. Nguyen +3 more
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Lossless data compression of grid-based digital elevation models: A png image format evaluation [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 At present, computers, lasers, radars, planes and satellite technologies make possible very fast and accurate topographic data acquisition for the production of maps. However, the problem of managing and manipulating this data efficiently remains.
G. Scarmana
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