Results 41 to 50 of about 2,483,627 (230)

Timely Lossless Source Coding for Randomly Arriving Symbols [PDF]

open access: yesInformation Theory Workshop, 2018
We consider a real-time streaming source coding system in which an encoder observes a sequence of randomly arriving symbols from an i.i.d. source, and feeds binary code-words to a FIFO buffer that outputs one bit per time unit to a decoder.
Jing Zhong, R. Yates, E. Soljanin
semanticscholar   +1 more source

The Compression Optimality of Asymmetric Numeral Systems

open access: yesEntropy, 2023
Source coding has a rich and long history. However, a recent explosion of multimedia Internet applications (such as teleconferencing and video streaming, for instance) renews interest in fast compression that also squeezes out as much redundancy as ...
Josef Pieprzyk   +5 more
doaj   +1 more source

JPEG2000 Compatible Lossless Coding of Floating-Point Data

open access: yesEURASIP Journal on Image and Video Processing, 2007
Many scientific applications require that image data be stored in floating-point format due to the large dynamic range of the data. These applications pose a problem if the data needs to be compressed since modern image compression standards, such as ...
Usevitch BryanE
doaj   +2 more sources

ROI coding of volumetric medical images with application to visualisation [PDF]

open access: yes, 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, Bull, DR, Canagarajah, CN
core   +2 more sources

Sample-Based Gradient Edge and Angular Prediction for VVC Lossless Intra-Coding

open access: yesApplied Sciences
Lossless coding is a compression method in the Versatile Video Coding (VVC) standard, which can compress video without distortion. Lossless coding has great application prospects in fields with high requirements for video quality.
Guojie Chen, Min Lin
doaj   +1 more source

Integer fast lapped transforms based on direct-lifting of DCTs for lossy-to-lossless image coding [PDF]

open access: yes, 2013
The discrete cosine transforms (DCTs) have found wide applications in image/video compression (image coding). DCT-based lapped transforms (LTs), called fast LTs (FLTs), overcome blocking artifacts generated at low bit rate image coding by DCT while ...
Ikehara Masaaki   +2 more
core   +1 more source

Low complexity code design for lossless and near-lossless side information source codes [PDF]

open access: yesData Compression Conference, 2003. Proceedings. DCC 2003, 2003
The instantaneous side of information source code (SISC) design is considered. In the SISC configuration, the encoder describes source X to the decoder; the decoder uses this description and side information Y, to reconstruct X. Prior work on lossless and near-lossless SISC design demonstrates that globally optimal design is NP-hard.
null Qian Zhao, M. Effros
openaire   +1 more source

A lossless compression method incorporating sensor fault detection for underwater acoustic sensor array

open access: yesInternational Journal of Distributed Sensor Networks, 2017
This article proposes an efficient lossless compression method for an underwater acoustic sensor array. The proposed method first decides whether the input signal is coming from a normal or a faulty sensor.
Yong Guk Kim   +4 more
doaj   +1 more source

Onboard Image Processing System for Hyperspectral Sensor

open access: yesSensors, 2015
Onboard image processing systems for a hyperspectral sensor have been developed in order to maximize image data transmission efficiency for large volume and high speed data downlink capacity.
Hiroki Hihara   +10 more
doaj   +1 more source

Two-layer Lossless HDR Coding considering Histogram Sparseness with Backward Compatibility to JPEG [PDF]

open access: yesPicture Coding Symposium, 2018
An efficient two-layer coding method using the histogram packing technique with the backward compatibility to the legacy JPEG is proposed in this paper.
Osamu Watanabe, H. Kobayashi, H. Kiya
semanticscholar   +1 more source

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