Results 91 to 100 of about 153,403 (304)
Lossless Compression of Mosaic Images with Convolutional Neural Network Prediction [PDF]
, 2020 Seyed Mehdi Ayyoubzadeh, Xiaolin Wu
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Bit‐Error Aware Lossless Image Compression with 2D‐Layer‐Block Coding [PDF]
, 2021 Jungan Chen +3 more
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Improved Lossless Depth Image Compression
Journal of WSCG, 2020 Since RGB-D sensors became massively popular and are used in a wide range of applications, depth data compression became an important research topic. Live-streaming of depth data requires quick compression and decompression. Accurate preservation of information is crucial in order to prevent geometric distortions.
Fischer, Roland +3 more
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PROTEOMICS, EarlyView.ABSTRACT To assess the potential for high resolution ion mobility (HRIM) as an alternative means of precursor isolation for mass spectrometry fragmentation analysis we performed a meta‐analysis of predicted tryptic peptide features from the human proteome to measure the rate of chimeric spectrum generation relative to traditional quadrupole‐based ...
Isabel R. Uribe +5 more
wiley +1 more source
Locally adaptive vector quantization: Data compression with feature preservation [PDF]
A study of a locally adaptive vector quantization (LAVQ) algorithm for data compression is presented. This algorithm provides high-speed one-pass compression and is fully adaptable to any data source and does not require a priori knowledge of the source ...
Cheung, K. M., Sayano, M.
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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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Lossless Compression of Dithered Images
IEEE Photonics Journal, 2013 In order to display high-bit resolution images on low-bit resolution displays, bit resolution needs to be reduced. This problem is vital especially for low-cost or small (mobile) devices. To untangle the bit reduction problem, special color quantization algorithms, called dithering, are employed on high-bit resolution images.
Basar Koc, Ziya Arnavut, Huseyin Kocak
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Small, EarlyView.Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong +9 more
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EURASIP Journal on Advances in Signal Processing, 2007 In order to decrease the communication bandwidth and save the transmitting power in the wireless endoscopy capsule, this paper presents a new near-lossless image compression algorithm based on the Bayer format image suitable for hardware design.
ZhiHua Wang, GuoLin Li, Xiang Xie
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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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