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Iris Image Compression Using Deep Convolutional Neural Networks
Sensors, 2022 Compression is a way of encoding digital data so that it takes up less storage and requires less network bandwidth to be transmitted, which is currently an imperative need for iris recognition systems due to the large amounts of data involved, while deep
Ehsaneddin Jalilian +2 more
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ROI coding of volumetric medical images with application to visualisation [PDF]
, 2003 This paper presents region of interest (ROI) coding of volumetric medical images with the region itself being three dimensional. An extension to 3D-SPIHT which allows 3D ROI coding is proposed.
Agrafiotis, D, Canagarajah, CN, Bull, DR
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The fidelity of compressed and interpolated medical images
Technical Transactions, 2020 Due to the amount of medical image data being produced and transferred over networks, employing lossy compression has been accepted by worldwide regulatory bodies. As expected, increasing the degree of compression leads to decreasing image fidelity.
Urbaniak Ilona Anna, Wolter Marcin
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On strange images with application to lossy image compression
Радіоелектронні і комп'ютерні системи, 2022 Single and three-channel images are widely used in numerous applications. Due to the increasing volume of such data, they must be compressed where lossy compression offers more opportunities.
Boban Bondzulic +3 more
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Colour volumetric compression for realistic view synthesis applications [PDF]
, 2007 The colour volumetric data which is constructed from a set of multi-view images is capable of providing realistic immersive experience. However it is not widely applicable due to its manifold increase in bandwidth.
Anantrasirichai, N +7 more
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Union Is Strength In Lossy Image Compression
CoRR, 2009 {"references": ["J.-L. Starck, and P. Querre, \"Multispectral Data Restoration by the\nWavelet-Karhunen-Lo\u00e8ve Transform,\" Preprint submitted to Elsevier\nPreprint, 2000, pp. 1-29.", "D. L. Donoho, and I. M. Johnstone, \"Adapting to unknown smoothness\nvia wavelet shrinkage,\" Journal of the American Statistical Assoc., vol.\n90, no. 432, pp. 1200-
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Quality criteria benchmark for hyperspectral imagery [PDF]
, 2005 Hyperspectral data appear to be of a growing interest over the past few years. However, applications for hyperspectral data are still in their infancy as handling the significant size of the data presents a challenge for the user community.
Christophe, Emmanuel +2 more
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Bit allocation for lossy image set compression [PDF]
2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM), 2015 Large sets of similar images are produced in many applications. To store these images more efficiently, redundancy among similar images need to be exploited. A number of methods have been proposed to reduce such inter-image redundancy in lossy image set compression. These methods encode each image either using a conventional image compression algorithm,
Howard Cheng, Camara Lerner
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Image Compression Based on Block SVD Power Method
Journal of Intelligent Systems, 2019 In recent years, the important and fast growth in the development and demand of multimedia products is contributing to an insufficiency in the bandwidth of devices and network storage memory.
Asnaoui Khalid El
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Post-processing of compressed noisy images by BM3D filter
Радіоелектронні і комп'ютерні системи, 2023 Acquired images are often noisy. Since the amount of such images increases, they should be compressed where lossy compression is often applied for several reasons. Such compression is associated with the phenomena of specific image filtering due to lossy
Volodymyr Rebrov, Vladimir Lukin
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