Results 281 to 290 of about 35,403 (321)

Restoration of lossy compressed noisy images

1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96, 1999
Noise degrades the performance of any image compression algorithm. However, at very low bit rates, image coders effectively filter noise that may he present in the image, thus, enabling the coder to operate closer to the noise free case. Unfortunately, at these low bit rates the quality of the compressed image is reduced and very distinctive coding ...
O K, Al-Shaykh, R M, Mersereau
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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
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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 Text Compression Techniques

2007
Most text documents contain a large amount of redundancy. Data compression can be used to minimize this redundancy and increase transmission efficiency or save storage space. Several text compression algorithms have been introduced for lossless text compression used in critical application areas.
Venka Palaniappan, Shahram Latifi
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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.
Kozhemiakin, Ruslan, Abramov, Sergey, Lukin, Vladimir, Djurovic, Blazo, Djurovic, Igor, Vozel, Benoit   +5 more
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Lossy JPEG compression: easy to compress, hard to compare

Dentomaxillofacial Radiology, 2006
To review the literature on lossy compression in dental radiography and to discuss the importance and suitability of the methodology used for evaluation of image compression.A search of Medline (from 1966 to October 2004) was undertaken with the search expression "(Radiography, dental) and compression". Inclusion criterion was that the reference should
A, Fidler, B, Likar, U, Skaleric
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Compression ratio prediction in lossy compression of noisy images

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015
Our paper addresses a question of prediction compression ratio in lossy compression of remote sensing images by coders based on discrete cosine transform (DCT) taking into account noise present in these images. Quantization step is set fixed and proportional to noise standard deviation to provide compression in optimal operation point if it exists ...
Zemliachenko, Alexander N., Abramov, Sergey, Lukin, Vladimir V., Vozel, Benoit, Chehdi, Kacem   +4 more
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WAVELET LOSSY COMPRESSION OF RANDOM DATA

International Journal of Modern Physics C, 2009
A discrete wavelet multiresolution approach to the problem of lossy compression of random data is described. Also, numerical and analytical estimations of the compression rate and of the relative reconstruction error are given.
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Image Compression Using VQ for Lossy Compression

2018
The process to minimize the total number of bits required to depict an image is known as image compression. The main goal of image compression is to minimize the transmission cost and to reduce the storage space. Vector quantization is a most popular technique for lossy compression due to its high compression rate and simple decoding algorithm. The key
Rishav Chatterjee, Alenrex Maity, Rajdeep Chatterjee   +2 more
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Lossy Image Compression

2011
K.K. Shukla, M.V. Prasad
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