FLoCIC: A Few Lines of Code for Raster Image Compression [PDF]
Entropy, 2023 A new approach is proposed for lossless raster image compression employing interpolative coding. A new multifunction prediction scheme is presented first.
Borut Žalik +8 more
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A case study on entropy-aware block-based linear transforms for lossless image compression [PDF]
Scientific ReportsData compression algorithms tend to reduce information entropy, which is crucial, especially in the case of images, as they are data intensive. In this regard, lossless image data compression is especially challenging.
Borut Žalik +4 more
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Lossless and Near-Lossless Image Compression Using Generalized Multi-Context Linear and Nonlinear Prediction [PDF]
EntropyThe paper proposes the Multi-ctx2 method, which enables image compression in lossless and near-lossless modes. It employs a generalized multi-context division method in the prediction stage, which is more efficient than other fast prediction methods ...
Grzegorz Ulacha, Mirosław Łazoryszczak
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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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Lossless Image Compression Using Context-Dependent Linear Prediction Based on Mean Absolute Error Minimization [PDF]
EntropyThis paper presents a method for lossless compression of images with fast decoding time and the option to select encoder parameters for individual image characteristics to increase compression efficiency.
Grzegorz Ulacha, Mirosław Łazoryszczak
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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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CARNet: Context-Aware Residual Learning for JPEG-LS Compressed Remote Sensing Image Restoration
Remote Sensing, 2022 JPEG-LS (a lossless (LS) compression standard developed by the Joint Photographic Expert Group) compressed image restoration is a significant problem in remote sensing applications. It faces the following two challenges: first, bridging small pixel-value
Maomei Liu +5 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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Lossless Image Coding Using Non-MMSE Algorithms to Calculate Linear Prediction Coefficients
Entropy, 2023 This paper presents a lossless image compression method with a fast decoding time and flexible adjustment of coder parameters affecting its implementation complexity.
Grzegorz Ulacha, Mirosław Łazoryszczak
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IEEE Access, 2022 After considering the spectral correlation of structure and statistics of the hyperspectral image, the redundancy reduction is optimized using reversible transformation of integer matrices in conjunction with the N-band integer reversible transformation ...
Changcheng Li +4 more
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