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Residual‐error prediction based on deep learning for lossless image compression
Electronics Letters, 2018A novel residual-error prediction method based on deep learning with application in lossless image compression is introduced. The proposed method employs machine learning tools to minimise the residual error of the employed prediction tools. Experimental
I. Schiopu, A. Munteanu
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Lossless colour image compression
2022This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
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Adaptive Predictor for Lossless Image Compression
Computing, 1999A new method for lossless image compression of grey-level images is proposed. The image is treated as a set of stacked bit planes. The compressed version of the image is represented by residuals of a non-linear local predictor spanning the current bit plane as well as a few neighbouring ones.
Hlaváč, V., Fojtík, J.
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A progressive Lossless/Near-Lossless image compression algorithm
IEEE Signal Processing Letters, 2002A novel image compression technique is presented that incorporates progressive transmission and near-lossless compression in a single framework. Experimental performance of the proposed coder proves to be competitive with the state-of-the-art compression schemes.
I. Avcibas +3 more
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Nearly-lossless autoregressive image compression
Pattern Recognition Letters, 1999Abstract A flexible accurate technique for improving image compression properties with linear image compressing transforms is presented. This is a reliable iterative algorithm for the nearly-lossless autoregressive (NLAR) compression of images, which permits control of errors produced in each pixel intensity while preserving the original image ...
Pianykh, O. S. +2 more
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Multiband Lossless Compression of Hyperspectral Images
IEEE Transactions on Geoscience and Remote Sensing, 2009Hyperspectral images exhibit significant spectral correlation, whose exploitation is crucial for compression. In this paper, we investigate the problem of predicting a given band of a hyperspectral image using more than one previous band. We present an information-theoretic analysis based on the concept of conditional entropy, which is used to assess ...
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Lossless Compression of Emission Tomography Images
2000An adaptive lossless compression method using predictive coding with the Rice codes is proposed for low resolution three-dimensional biomedical images. The method is evaluated with the brain positron emission tomography (PET) images. The results are considerably better than with static arithmetic coding.
J, Mykkänen, T, Tossavainen, M, Juhola
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Extending lossless image compression
2018This thesis was digitised by the British Library from microfilm. You can acquire a single copy of this thesis for research purposes by clicking on the padlock icon on the thesis file. Please be aware that the text in the supplied thesis pdf file may not be as clear as text in a thesis that was born digital or digitised directly from paper due to the ...
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A prediction-based lossless image compression procedure using dimension reduction and Huffman coding
Multimedia tools and applications, 2022Md.Atiqur Rahman, Mohamed Hamada
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