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IEEE Transactions on Image Processing, 2022
3D volumetric image processing has attracted increasing attention in the last decades, in which one major research area is to develop efficient lossless volumetric image compression techniques to better store and transmit such images with massive amount ...
Zhenghao Chen +3 more
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3D volumetric image processing has attracted increasing attention in the last decades, in which one major research area is to develop efficient lossless volumetric image compression techniques to better store and transmit such images with massive amount ...
Zhenghao Chen +3 more
semanticscholar +1 more source
Lossless Image Compression Using a Multi-scale Progressive Statistical Model
Asian Conference on Computer Vision, 2021Lossless image compression is an important technique for image storage and transmission when information loss is not allowed. With the fast development of deep learning techniques, deep neural networks have been used in this field to achieve a higher ...
Honglei Zhang +5 more
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Computer Vision and Pattern Recognition, 2021
We propose a novel joint lossy image and residual compression framework for learning ℓ∞-constrained near-lossless image compression. Specifically, we obtain a lossy reconstruction of the raw image through lossy image compression and uniformly quantize ...
Yuanchao Bai +4 more
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We propose a novel joint lossy image and residual compression framework for learning ℓ∞-constrained near-lossless image compression. Specifically, we obtain a lossy reconstruction of the raw image through lossy image compression and uniformly quantize ...
Yuanchao Bai +4 more
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A Visually Meaningful Image Encryption Scheme Based on Lossless Compression SPIHT Coding
IEEE Transactions on Services Computing, 2023With the popularity of social networks and the increase of cloud platform applications, service computing has also developed. Therefore, the protection of information even privacy uploaded to the cloud server has become critical.
Yang Yang +3 more
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IEEE Geoscience and Remote Sensing Magazine, 2021
The Consultative Committee for Space Data Systems (CCSDS) published the CCSDS 123.0-B-2, “Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression” standard.
Miguel Hernández-Cabronero +6 more
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The Consultative Committee for Space Data Systems (CCSDS) published the CCSDS 123.0-B-2, “Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression” standard.
Miguel Hernández-Cabronero +6 more
semanticscholar +1 more source
Lossless compression of AVIRIS images
IEEE Transactions on Image Processing, 1996Adaptive DPCM methods using linear prediction are described for the lossless compression of hyperspectral (224-band) images recorded by the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS). The methods have two stages-predictive decorrelation (which produces residuals) and residual encoding.
R E, Roger, M C, Cavenor
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Perceptually lossless image compression
Proceedings DCC '97. Data Compression Conference, 1997Summary form only given. This paper presents an algorithm for perceptually lossless image compression. The approach utilizes properties of the human visual system in the form of a perceptual threshold function (PTF) model. The PTF model determines the amount of distortion that can be introduced at each location of the image.
P.J. Hahn, V.J. Mathews
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Large Language Model for Lossless Image Compression with Visual Prompts
arXiv.orgRecent advancements in deep learning have driven significant progress in lossless image compression. With the emergence of Large Language Models (LLMs), preliminary attempts have been made to leverage the extensive prior knowledge embedded in these ...
Junhao Du +8 more
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Asymmetric lossless image compression
Proceedings DCC '95 Data Compression Conference, 2002Summary form only given. Lossless image compression is often required in situations where compression is done once and decompression is to be performed a multiple number of times. Since compression is to be performed only once, time taken for compression is not a critical factor while selecting an appropriate compression scheme.
N.D. Memon, K. Sayood
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