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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Modelling and Analysis of Hybrid Transformation for Lossless Big Medical Image Compression
Bioengineering, 2023 Due to rapidly developing technology and new research innovations, privacy and data preservation are paramount, especially in the healthcare industry. At the same time, the storage of large volumes of data in medical records should be minimized. Recently,
Xingsi Xue +6 more
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Accuracy analysis of lossless and lossy disparity map compression
Ain Shams Engineering Journal, 2022 In this paper, we analysed lossless and lossy compression of disparity (depth) images with low range resolution. For that goal, the well-known publicly available Middlebury dataset is used with stereo image pairs, their disparity ground truths and ...
Saad Merrouche +3 more
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Intelligent compression for synchrotron radiation source image [PDF]
EPJ Web of Conferences, 2021 Synchrotron radiation sources (SRS) produce a huge amount of image data. This scientific data, which needs to be stored and transferred losslessly, will bring great pressure on storage and bandwidth.
Fu Shiyuan +3 more
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JPEG2000 Compatible Lossless Coding of Floating-Point Data
EURASIP Journal on Image and Video Processing, 2007 Many scientific applications require that image data be stored in floating-point format due to the large dynamic range of the data. These applications pose a problem if the data needs to be compressed since modern image compression standards, such as ...
Bryan E. Usevitch
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Practical Full Resolution Learned Lossless Image Compression [PDF]
Computer Vision and Pattern Recognition, 2018 We propose the first practical learned lossless image compression system, L3C, and show that it outperforms the popular engineered codecs, PNG, WebP and JPEG 2000.
Fabian Mentzer +4 more
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Learned Lossless Image Compression with A Hyperprior and Discretized Gaussian Mixture Likelihoods [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020 Lossless image compression is an important task in the field of multimedia communication. Traditional image codecs typically support lossless mode, such as WebP, JPEG2000, FLIF.
Zhengxue Cheng +3 more
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Hardware architecture for lossless image compression based on context-based modeling and arithmetic coding [PDF]
, 2007 In this paper we present a novel hardware architecture for context-based statistical lossless image compression, as part of a dynamically reconfigurable architecture for universal lossless compression.
Vitulli, Raffaele +3 more
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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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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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