Lossless and Near-Lossless Compression Algorithms for Remotely Sensed Hyperspectral Images [PDF]
EntropyRapid and continuous advancements in remote sensing technology have resulted in finer resolutions and higher acquisition rates of hyperspectral images (HSIs).
Amal Altamimi, Belgacem Ben Youssef
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Hardware Acceleration of Division-Free Quadrature-Based Square Rooting Approach for Near-Lossless Compression of Hyperspectral Images [PDF]
SensorsRecent advancements in hyperspectral imaging have significantly increased the acquired data volume, creating a need for more efficient compression methods for handling the growing storage and transmission demands.
Amal Altamimi, Belgacem Ben Youssef
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Lossless and Near-Lossless L-Infinite Compression of Depth Video Data [PDF]
SensorsThe acquisition of depth information sensorial data is critically important in medical applications, such as the monitoring of the elderly or the extraction of human biometrics.
Mohammad Ali Tahouri +3 more
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Near-Lossless Compression for Large Traffic Networks [PDF]
IEEE Transactions on Intelligent Transportation Systems, 2014 With advancements in sensor technologies, intelligent transportation systems can collect traffic data with high spatial and temporal resolution. However, the size of the networks combined with the huge volume of the data puts serious constraints on ...
Asif, Muhammad Tayyab +4 more
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Non-Uniform Entropy-Constrained L∞ Quantization for Sparse and Irregular Sources [PDF]
EntropyNear-lossless coding schemes traditionally rely on uniform quantization to control the maximum absolute error (L∞ norm) of residual signals, often assuming a parametric model for the source distribution. This paper introduces a novel design framework for
Alin-Adrian Alecu +3 more
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State-of-the-Art Trends in Data Compression: COMPROMISE Case Study [PDF]
EntropyAfter a boom that coincided with the advent of the internet, digital cameras, digital video and audio storage and playback devices, the research on data compression has rested on its laurels for a quarter of a century.
David Podgorelec +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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Epipolar Plane Image-Based Lossless and Near-Lossless Light Field Compression
IEEE Access, 2021 Recent advances in the computer technology has enabled many theoretical ideas in computer vision to become practical also within camera technology. Light field technology aims at replacing the traditional camera design by acquiring the intensity of light
M. Umair Mukati, Soren Forchhammer
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Sensors, 2023 The usage of media such as images and videos has been extensively increased in recent years. It has become impractical to store images and videos acquired by camera sensors in their raw form due to their huge storage size.
Afnan +5 more
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Near-lossless image compression techniques [PDF]
Journal of Electronic Imaging, 1998 Predictive and multiresolution techniques for near-lossless image compression based on the criterion of maximum allowable deviation of pixel values are investigated. A procedure for near-lossless compression using a modification of lossless predictive coding techniques to satisfy the specified tolerance is described.
Ansari, R., Memon, N., Ceran, E.
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