Results 171 to 180 of about 1,535 (206)

Secret image sharing scheme with lossless recovery and high efficiency

Signal Processing, 2023
Shengyang Luo, Xuehu Yan, Yongqiang Yu   +2 more
exaly   +2 more sources

Regression Wavelet Analysis for Near-Lossless Remote Sensing Data Compression [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2020
Altres ajuts: Universitat Autònoma de Barcelona under Grant UAB-PIF-472/2015Regression wavelet analysis (RWA) is one of the current state-of-the-art lossless compression techniques for remote sensing data. This article presents the first regression-based
Sara Alvarez-Cortes, Joan Serra-Sagrista, Joan Bartrina-Rapesta   +2 more
exaly   +2 more sources

Lossless and Efficient Polynomial-Based Secret Image Sharing with Reduced Shadow Size

Symmetry, 2018
Thien-and-Lin’s polynomial-based secret image sharing (PSIS) is utilized as the basic method to achieve PSISs with better performances, such as meaningful shares, two-in-one property and shares with different priorities.
Xuan Zhou, Yuliang Lu, Xuehu Yan
exaly   +2 more sources

FreeLauncher: Lossless Failure Recovery of Parameter Servers with Ultralight Replication

2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS), 2021
Modern distributed machine learning (ML) systems leverage large-scale computing infrastructures to achieve fast model training. For many servers jointly training a model, failure recovery becomes an important challenge when a training task could be accomplished in minutes rather than days.
Yangyang Zhang 0001, Jianxin Li 0002, Yiming Zhang 0003, Lijie Wang, Ling Liu 0001   +4 more
openaire   +1 more source

Lossless generalized-LSB data embedding

IEEE Transactions on Image Processing, 2005
—We present a novel lossless (reversible) data-embedding technique, which enables the exact recovery of the original host signal upon extraction of the embedded information.
M U Çelik, Gaurav Sharma, A Murat Tekalp   +2 more
exaly   +1 more source

On distributed successive refinement with lossless recovery

2014 IEEE International Symposium on Information Theory, 2014
The problem of successive refinement in distributed source coding and in joint source-channel coding is considered. The emphasis is placed on the case where the sources have to be recovered losslessly in the second stage. In distributed source coding, it is shown that all sources are successively refinable in sum rate, with respect to any (joint ...
Chien-Yi Wang, Michael Gastpar
openaire   +1 more source

Universal Compressed Sensing for Almost Lossless Recovery

IEEE Transactions on Information Theory, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shirin Jalali, H. Vincent Poor
openaire   +2 more sources

Multi-image based self-embedding watermarking with lossless tampering recovery capability

Expert Systems With Applications
Fang Cao, Chuan Qin, Lin Huang
exaly   +2 more sources

Perceptually Lossless Image Compression with Error Recovery

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing, 2018
In many bandwidth constrained applications, lossless compression may be unnecessary, as only two to three times of compression can be achieved. An alternative way to save bandwidth is to adopt perceptually lossless compression, which can attain eight times or more compression without loss of important information.
Chiman Kwan, Eric Shang, Trac D. Tran
openaire   +1 more source

Reversible Visible Watermarking and Lossless Recovery of Original Images

IEEE Transactions on Circuits and Systems for Video Technology, 2006
In this paper, we propose a reversible visible watermarking algorithm to satisfy a new application scenario where the visible watermark serves as a tag or ownership identifier, but can be completely removed to resume the original image data. It includes two procedures: data hiding and visible watermark embedding. In order to losslessly recover both the
Yongjian Hu, Byeungwoo Jeon
openaire   +1 more source