Results 21 to 30 of about 138 (118)

GPU-Based Lossless Compression of Aurora Spectral Data using Online DPCM

open access: yesRemote Sensing, 2019
It is well known that aurorae have very high research value, but the data volume of aurora spectral data is very large, which brings great challenges to storage and transmission.
Jiaojiao Li, Jiaji Wu, Gwanggil Jeon
doaj   +1 more source

ADPCM Using a Second-order Switched Predictor and Adaptive Quantizer

open access: yesAdvances in Electrical and Computer Engineering, 2011
Adaptive differential pulse code modulation (ADPCM) with forward gain-adaptive quantizer and second-order switched predictor based on correlation is presented in this article.
DESPOTOVIC, V., PERIC, Z.
doaj   +1 more source

A New Frame Memory Compression Algorithm with DPCM and VLC in a 4×4 Block

open access: yesEURASIP Journal on Advances in Signal Processing, 2009
Frame memory compression (FMC) is a technique to reduce memory bandwidth by compressing the video data to be stored in the frame memory. This paper proposes a new FMC algorithm integrated into an H.264 encoder that compresses a 4×4 block by ...
Yongje Lee, Yongseok Jin, Hyuk-Jae Lee
doaj   +1 more source

PSNR Improvement using Different Prediction Coding in Image Compression

open access: yesTikrit Journal of Engineering Sciences, 2010
Differential Pulse Code Modulation (DPCM) is one of the predictive coding techniques. The number of previous pixels employed in the estimate operation is referred to as the order of the predictor. Predictor using one pixel for estimation is called “first
Khamies K. Hasan
doaj   +1 more source

Adaptive Image Compressive Sensing Using Texture Contrast

open access: yesInternational Journal of Digital Multimedia Broadcasting, Volume 2017, Issue 1, 2017., 2017
The traditional image Compressive Sensing (CS) conducts block‐wise sampling with the same sampling rate. However, some blocking artifacts often occur due to the varying block sparsity, leading to a low rate‐distortion performance. To suppress these blocking artifacts, we propose to adaptively sample each block according to texture features in this ...
Fang Sun   +4 more
wiley   +1 more source

Rate‐Distortion and Rate‐Energy‐Distortion Evaluations of Compressive‐Sensing Video Coding

open access: yesInternational Journal of Digital Multimedia Broadcasting, Volume 2017, Issue 1, 2017., 2017
Compressive‐Sensing Video Coding (CSVC) is a new video coding framework based on compressive‐sensing (CS) theory. This paper presents the evaluations on rate‐distortion performance and rate‐energy‐distortion performance of CSVC by comparing it with the popular hybrid video coding standard H.264 and distributed video coding (DVC) system DISCOVER ...
Bingyu Ji   +3 more
wiley   +1 more source

Variable‐Rate Texture Compression: Real‐Time Rendering with JPEG

open access: yesComputer Graphics Forum, EarlyView.
Abstract Although variable‐rate compressed image formats such as JPEG are widely used to efficiently encode images, they have not found their way into real‐time rendering due to special requirements such as random access to individual texels. In this paper, we investigate the feasibility of variable‐rate texture compression on modern GPUs using the ...
Elias Kristmann   +2 more
wiley   +1 more source

Further investigation on adaptive search

open access: yesThe Journal of Engineering, Volume 2014, Issue 5, Page 238-247, May 2014., 2014
Adaptive search is one of the fastest fractal compression algorithms and has gained great success in many industrial applications. By substituting the luminance offset by the range block mean, the authors create a completely new version for both the encoding and decoding algorithms.
Ming Hong Pi   +3 more
wiley   +1 more source

Spectral Distortion in Lossy Compression of Hyperspectral Data

open access: yesJournal of Electrical and Computer Engineering, 2012
Distortion allocation varying with wavelength in lossy compression of hyperspectral imagery is investigated, with the aim of minimizing the spectral distortion between original and decompressed data.
Bruno Aiazzi   +4 more
doaj   +1 more source

Edge-Based and Prediction-Based Transformations for Lossless Image Compression

open access: yesJournal of Imaging, 2018
Pixelated images are used to transmit data between computing devices that have cameras and screens. Significant compression of pixelated images has been achieved by an “edge-based transformation and entropy coding” (ETEC) algorithm recently ...
Md. Ahasan Kabir   +1 more
doaj   +1 more source

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