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Extending lossless image compression
2001“It is my thesis that worthwhile improvements can be made to lossless image compression schemes, by considering the correlations between the spectral, temporal and interview aspects of image data, in extension to the spatial correlations that are traditionally exploited.” Images are an important part of today’s digital world. However, due to the large
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Near lossless image compression system
2012 Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics, 2012Image compression has become an important issue in relation to storage and transmission. A very simple and efficient near lossless image compression system is suggested in this paper. In the forward compression algorithm, image pixels are shifted right by the base value.
A. S. Mamatha, Vipula Singh
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An improved lossless image compression algorithm based on Huffman coding
Multimedia tools and applications, 2021Xiaoxiao Liu +3 more
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Perceptually Lossless Image Compression with Error Recovery
International Conferences on Vision, Image and Signal Processing, 2018In many bandwidth constrained applications, lossless compression may be unnecessary, as only two to three times of compression can be achieved. An alternative way to save bandwidth is to adopt perceptually lossless compression, which can attain eight ...
C. Kwan, Eric Shang, T. Tran
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Lossless compression of Peanoscanned images
Journal of Electronic Imaging, 1994Peanoscanning was used to obtain the pixels from an image by following a scan path described by a space-filling curve, the Peano-Hilbert curve. The Peanoscanned data were then compressed without loss of information by direct Huffrnan, arithmetic, and Lernpel-Ziv-Welch coding, as well as predictive and transform coding.
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Lossless compression of medical images
[1991] Computer-Based Medical Systems@m_Proceedings of the Fourth Annual IEEE Symposium, 2002Lossless compression of magnetic resonance images is reviewed using both the theoretical and implementation models. The compression level of selected algorithms (Lempel-Ziv and Huffman) are compared against the first-order, second-order, and conditional entropies.
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Lossless image compression-encryption algorithm based on BP neural network and chaotic system
Multimedia tools and applications, 2020Feifei Yang, Jun Mou, K. Sun, Ran Chu
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A low complexity lossless Bayer CFA image compression
Signal, Image and Video Processing, 2021K. M. Mafijur Rahman +5 more
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