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A comparative analysis of the state-of-the-art lossless image compression techniques [PDF]
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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A novel lossy image compression algorithm using multi-models stacked AutoEncoders
The extensive use of images in many fields increased the demand for image compression algorithms to overcome the transfer bandwidth and storage limitations. With image compression, disk space, and transmission speed can be efficiently reduced.
Salam Fraihat, Mohammed Azmi Al-Betar
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Discernible Image Compression [PDF]
Accepted by ACMMM ...
Zhaohui Yang 0003 +6 more
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Binary Compressed Imaging [PDF]
Compressed sensing can substantially reduce the number of samples required for conventional signal acquisition at the expense of an additional reconstruction procedure. It also provides robust reconstruction when using quantized measurements, including in the one-bit setting.
Aurélien Bourquard, Michael Unser
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Context-Aware Image Compression. [PDF]
We describe a physics-based data compression method inspired by the photonic time stretch wherein information-rich portions of the data are dilated in a process that emulates the effect of group velocity dispersion on temporal signals.
Jacky C K Chan +3 more
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Musical image compression [PDF]
Optical music recognition aims to convert the vast repositories of sheet music in the world into an on-line digital format. In the near future it will be possible to assimilate music into digital libraries and users will be able to perform searches based on a sung melody in addition to typical text-based searching.
David Bainbridge 0001, Stuart Inglis
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Soft Compression for Lossless Image Coding Based on Shape Recognition
Soft compression is a lossless image compression method that is committed to eliminating coding redundancy and spatial redundancy simultaneously. To do so, it adopts shapes to encode an image.
Gangtao Xin, Pingyi Fan
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An Improved Image Compression Technique Using EZW and SPHIT Algorithms
Uncompressed form of the digital images are needed a very large storage capacity amount, as a consequence requires large communication bandwidth for data transmission over the network.
Aqeel K. Kadhim +2 more
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Optimized Block-Based Lossy Image Compression Technique for Wireless Sensor Networks
Traditionally, image compression algorithms have primarily focused on optimizing storage without considering resource-constrained applications, such as wireless sensor networks (WSNs).
Bose A. Lungisani +3 more
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Lossy Image Compression with Compressive Autoencoders
We propose a new approach to the problem of optimizing autoencoders for lossy image compression. New media formats, changing hardware technology, as well as diverse requirements and content types create a need for compression algo- rithms which are more flexible than existing codecs.
Huszar, Ferenc +3 more
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