Results 291 to 300 of about 35,976 (328)

Lossy Audio Compression Identification

2018 26th European Signal Processing Conference (EUSIPCO), 2018
We propose a system which can estimate from an audio recording that has previously undergone lossy compression the parameters used for the encoding, and therefore identify the corresponding lossy coding format. The system analyzes the audio signal and searches for the compression parameters and framing conditions which match those used for the encoding.
Bongjun Kim, Zafar Rafii
openaire   +1 more source

Pointwise redundancy in lossy data compression and universal lossy data compression

IEEE Transactions on Information Theory, 2000
Summary: The author characterizes achievable pointwise redundancy rates for lossy data compression at a fixed distortion level. Pointwise redundancy refers to the difference between the description length achieved by an \(n\)th-order block code and the optimal \(nR(D)\) bits.
openaire   +1 more source

Lossy Audio Compression via Compressed Sensing

2010 Data Compression Conference, 2010
We propose a Compressed Sensing application to audio signals and analyze its audio perceptual quality with PEAQ.
Rubem J. V. de Medeiros, Edmar C. Gurjao, Joao M. de Carvalho   +2 more
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Lossy Compression Tolerant Steganography

2001
This paper proposes a lossy compression tolerant steganography. Steganography hides the confidential data secretly. The unauthorized people are difficult to detect hidden data. It provides a secure channel to transmit confidential information. Nowadays, it is a very important technique when we are progressively going to computer network age.
Ren-Junn Hwang, Timothy K. Shih, Chuan-Ho Kao, Tsung-Ming Chang   +3 more
openaire   +1 more source

On Joint Information Embedding and Lossy Compression

IEEE Transactions on Information Theory, 2004
We consider the problem of optimum joint information embedding and lossy compression with respect to a fidelity criterion. The goal is to find the minimum achievable compression (composite) rate R/sub c/ as a function of the embedding rate R/sub e/ and the average distortion level /spl Delta/ allowed, such that the average probability of error in ...
Alina Maor, Neri Merhav
openaire   +1 more source

Lossy compression of Landsat multispectral images

2016 5th Mediterranean Conference on Embedded Computing (MECO), 2016
We consider practical aspects of lossy compression with application to multispectral images provided by Landsat sensor. Two facts are taken into account: 1) the inherent noise presence and its properties; 2) rather high degree of component correlation. These properties in different degree are used in 2D and 3D lossy compression.
Ruslan A. Kozhemiakin, Sergey K. Abramov, Vladimir Badenko, Blazo Djurovic, Igor Djurovic, Benoît Vozel   +5 more
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Integer Computation of Lossy JPEG2000 Compression

IEEE Transactions on Image Processing, 2011
In this paper, an integer-based Cohen-Daubechies-Feauvea (CDF) 9/7 wavelet transform as well as an integer quantization method used in a lossy JPEG2000 compression engine is presented. The conjunction of both an integer transform and quantization step allows for a complete integer computation of lossy JPEG2000 compression.
Eric J. Balster, Benjamin T. Fortener, William F. Turri   +2 more
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Lossy Compression Algorithms

2014
In this chapter we examine compression algorithms such that recovered input data cannot be exactly reconstructed from compressed version. This termed “loss”. What we have, then, is a tradeoff between efficient compression versus a less accurate version of the input data. This tradeoff is captured in the Rate-Distortion Theory.
Ze-Nian Li, Mark S. Drew, Jiangchuan Liu
openaire   +1 more source

Lossy Data Compression for IoT Sensors: A Review

Internet of Things (Netherlands), 2022
Carlos Montez
exaly  

Qualitative Rating of Lossy Compression for Aerial Imagery by Neutrosophic WASPAS Method

Symmetry, 2021
Romualdas Bausys
exaly