Results 21 to 30 of about 10,310 (245)

Backward adaptive pixel-based fast predictive motion estimation [PDF]

open access: yes, 2009
This letter presents a novel backward adaptive pixel-based fast predictive motion estimation (BAPME) scheme for lossless video compression. Unlike the widely used block-matching motion estimation techniques, this method predicts the motion on a pixel-by ...
Canagarajah, CN   +2 more
core   +1 more source

Reversible Integer-to-Integer Wavelet Filter Design for Lossless Image Compression

open access: yesIEEE Access, 2020
In this paper, factors that influence the lossless compression efficiency of reversible integer-tointeger (ITI) wavelet filters are presented. It is observed that there is a converged region for the bitrate of the compressed subbands.
Jianyu Lin
doaj   +1 more source

Lossless Compression with Probabilistic Circuits

open access: yesCoRR, 2021
Despite extensive progress on image generation, common deep generative model architectures are not easily applied to lossless compression. For example, VAEs suffer from a compression cost overhead due to their latent variables. This overhead can only be partially eliminated with elaborate schemes such as bits-back coding, often resulting in poor single-
Anji Liu   +2 more
openaire   +3 more sources

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 ...
Bryan E. Usevitch
doaj   +2 more sources

A New Perspective on Improving the Lossless Compression Efficiency for Initially Acquired Images

open access: yesIEEE Access, 2019
A new lossless compression scheme of compressing the initially-acquired continuous-intensity images with a lossy compression algorithm to obtain higher compression efficiency is proposed. Even if a lossy algorithm is employed, for decoded original images,
Jianyu Lin
doaj   +1 more source

Data reduction in the ITMS system through a data acquisition model with self-adaptive sampling rate [PDF]

open access: yes, 2008
Long pulse or steady state operation of fusion experiments require data acquisition and processing systems that reduce the volume of data involved. The availability of self-adaptive sampling rate systems and the use of real-time lossless data compression
Arcas Castro, Guillermo de   +5 more
core   +2 more sources

A comparative analysis of the state-of-the-art lossless image compression techniques [PDF]

open access: yesSHS Web of Conferences, 2022
Lossless data reduction is essential for data transmission over the Internet and the storage of data in a digital device when data loss is not permitted. The application of image compression is essential for image storing, image classification, and image
Rahman Atiqur   +2 more
doaj   +1 more source

Lossy Compression for Lossless Prediction

open access: yesCoRR, 2021
Most data is automatically collected and only ever "seen" by algorithms. Yet, data compressors preserve perceptual fidelity rather than just the information needed by algorithms performing downstream tasks. In this paper, we characterize the bit-rate required to ensure high performance on all predictive tasks that are invariant under a set of ...
Yann Dubois   +3 more
openaire   +3 more sources

Colour volumetric compression for realistic view synthesis applications [PDF]

open access: yes, 2011
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.
Bull, David   +4 more
core   +1 more source

Accuracy analysis of lossless and lossy disparity map compression

open access: yesAin Shams Engineering Journal, 2022
In this paper, we analysed lossless and lossy compression of disparity (depth) images with low range resolution. For that goal, the well-known publicly available Middlebury dataset is used with stereo image pairs, their disparity ground truths and ...
Saad Merrouche   +3 more
doaj   +1 more source

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