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Review of Very Low Bitrate Image Compression Techniques
Shuju Caiji Yu ChuliImage is one of the important ways to obtain information. With the increasing demand of image transmission and storage， especially in bandwidth limited or cloud storage situations， compressing images at extremely low bitrates is of great significance for
YUE Shuang, CHEN Zhe, YIN Fuliang
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Sensors, 2014 Compressive Sensing Imaging (CSI) is a new framework for image acquisition, which enables the simultaneous acquisition and compression of a scene. Since the characteristics of Compressive Sensing (CS) acquisition are very different from traditional image
Xiangwei Li +4 more
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Lossy Compression of Multichannel Remote Sensing Images with Quality Control
Remote Sensing, 2020 Lossy compression is widely used to decrease the size of multichannel remote sensing data. Alongside this positive effect, lossy compression may lead to a negative outcome as making worse image classification.
Vladimir Lukin +8 more
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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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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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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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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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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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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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