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Image compression based on 2D Discrete Fourier Transform and matrix minimization algorithm [PDF]
, 2020 In the present era of the internet and multimedia, image compression techniques are essential to improve image and video performance in terms of storage space, network bandwidth usage, and secure transmission.
Rasheed, Mohammed H +3 more
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A survey of parallel algorithms for fractal image compression [PDF]
, 2007 This paper presents a short survey of the key research work that has been undertaken in the application of parallel algorithms for Fractal image compression.
Beaumont J. M. +6 more
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Iris Recognition: The Consequences of Image Compression [PDF]
, 2010 Iris recognition for human identification is one of the most accurate biometrics, and its employment is expanding globally. The use of portable iris systems, particularly in law enforcement applications, is growing.
Belcher, Craig +3 more
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Optimal Compression of Floating-point Astronomical Images Without Significant Loss of Information [PDF]
, 2010 We describe a compression method for floating-point astronomical images that gives compression ratios of 6 -- 10 while still preserving the scientifically important information in the image. The pixel values are first preprocessed by quantizing them into
Pence, W. D., Seaman, R., White, R. L.
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Weighted universal image compression [PDF]
, 1999 We describe a general coding strategy leading to a family of universal image compression systems designed to give good performance in applications where the statistics of the source to be compressed are not available at design time or vary over time or ...
Chou, Philip A. +2 more
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Lossless Astronomical Image Compression and the Effects of Noise
, 2009 We compare a variety of lossless image compression methods on a large sample of astronomical images and show how the compression ratios and speeds of the algorithms are affected by the amount of noise in the images.
Pence, W. D., Seaman, R., White, R. L.
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Perceptual Quality Study on Deep Learning based Image Compression
, 2019 Recently deep learning based image compression has made rapid advances with promising results based on objective quality metrics. However, a rigorous subjective quality evaluation on such compression schemes have rarely been reported.
Akyazi, Pinar +4 more
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, 2017 Traditional image and video compression algorithms rely on hand-crafted encoder/decoder pairs (codecs) that lack adaptability and are agnostic to the data being compressed.
Budden, David +2 more
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Imaging via Compressive Sampling [Introduction to compressive sampling and recovery via convex programming] [PDF]
, 2008 There is an extensive body of literature on image compression, but the central concept is straightforward: we transform the image into an appropriate basis and then code only the important expansion coefficients.
Romberg, Justin
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Fractal image compression [PDF]
Fractals are geometric or data structures which do not simplify under magnification. Fractal Image Compression is a technique which associates a fractal to an image. On the one hand, the fractal can be described in terms of a few succinct rules, while on
Barnsley, Michael F., Sloan, Alan D.
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