Results 21 to 30 of about 3,598 (204)
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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A New Perspective on Improving the Lossless Compression Efficiency for Initially Acquired Images
IEEE Access, 2019 A new lossless compression scheme of compressing the initially-acquired continuous-intensity images with a lossy compression algorithm to obtain higher compression efficiency is proposed. Even if a lossy algorithm is employed, for decoded original images,
Jianyu Lin
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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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A comparative analysis of the state-of-the-art lossless image compression techniques [PDF]
SHS Web of Conferences, 2022 Lossless data reduction is essential for data transmission over the Internet and the storage of data in a digital device when data loss is not permitted. The application of image compression is essential for image storing, image classification, and image
Rahman Atiqur +2 more
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Lossy Compression for Lossless Prediction
CoRR, 2021 Most data is automatically collected and only ever "seen" by algorithms. Yet, data compressors preserve perceptual fidelity rather than just the information needed by algorithms performing downstream tasks. In this paper, we characterize the bit-rate required to ensure high performance on all predictive tasks that are invariant under a set of ...
Yann Dubois +3 more
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Lossless Compression Schemes for ECG Signals Using Neural Network Predictors
EURASIP Journal on Advances in Signal Processing, 2007 This paper presents lossless compression schemes for ECG signals based on neural network predictors and entropy encoders. Decorrelation is achieved by nonlinear prediction in the first stage and encoding of the residues is done by using lossless entropy ...
C. Eswaran, R. Kannan
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On Predictive-Based Lossless Compression of Images with Higher Bit Depths [PDF]
Telfor Journal, 2012 Due to the rapidly increasing requirements for data transmission and storage, applications for fast and efficient compression of data have a very important role. Lossless compression must be applied when data acquisition is expensive.
A. Avramović, G. Banjac
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Computers, 2019 Since lossless compression can only achieve two to four times data compression, it may not be efficient to deploy lossless compression in bandwidth constrained applications. Instead, it would be more economical to adopt perceptually lossless compression,
Chiman Kwan +5 more
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Lossless Compression Framework Using Lossy Prior for High-Resolution Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingLossless compression of remote sensing images is critically important for minimizing storage requirements while preserving the complete integrity of the data.
Enjia Gu +3 more
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The Improvised GZIP, A Technique for Real Time Lossless Data Compression [PDF]
EAI Endorsed Transactions on Context-aware Systems and Applications, 2019 Whenever it comes to data processing, the user always faces two major constraints. One is storage capacity and second is bandwidth. These two resources must be efficiently utilized by compressing the data.
Ahmad Shah, Muhammad Sethi
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