scholarly journals Topologically Controlled Lossy Compression

2018 ◽  
Author(s):  
Maxime Soler ◽  
Melanie Plainchault ◽  
Bruno Conche ◽  
Julien Tierny
Keyword(s):  
Lossy Compression

Lossy Compression of Haptic Data by Using DCT

2010 ◽  
Vol 130 (8) ◽  
pp. 945-952 ◽  
Author(s):  
Hiroyuki Tanaka ◽  
Kouhei Ohnishi
Keyword(s):  
Lossy Compression

OPTIMAL OPERATION POINT IN 3D DCT- BASED LOSSY COMPRESSION OF COLOR AND MULTICHANNEL REMOTE SENSING IMAGES

2015 ◽  
Vol 74 (20) ◽  
pp. 1803-1821 ◽  
Author(s):  
V. V. Lukin ◽  
S. K. Abramov ◽  
R.A. Kozhemiakin ◽  
Benoit Vozel ◽  
B. Djurovic ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Lossy Compression ◽  
Optimal Operation ◽  
Remote Sensing Images

AN AUTOMATIC APPROACH TO LOSSY COMPRESSION OF AVIRIS HYPERSPECTRAL DATA

2010 ◽  
Vol 69 (6) ◽  
pp. 537-563 ◽  
Author(s):  
N. N. Ponomarenko ◽  
M. S. Zriakhov ◽  
A. Kaarna
Keyword(s):  
Lossy Compression ◽  
Hyperspectral Data

scholarly journals Gaussian state entanglement witnessing through lossy compression

2021 ◽  
Vol 103 (3) ◽  
Author(s):  
Waldemar Kłobus ◽  
Paweł Cieśliński ◽  
Lukas Knips ◽  
Paweł Kurzyński ◽  
Wiesław Laskowski
Keyword(s):  
Lossy Compression ◽  
Gaussian State

Lossless Compression for Text and Images

1997 ◽  
Vol 08 (01) ◽  
pp. 179-231 ◽  
Author(s):  
Alistair Moffat ◽  
Timothy C. Bell ◽  
Ian H. Witten
Keyword(s):  
Remote Sensing ◽  
Lossless Compression ◽  
Lossy Compression ◽  
International Standards ◽  
Experimental Results ◽  
Extensive Discussion ◽  
Standard Methods ◽  
Sensing Applications ◽  
Other Information ◽  
Remote Sensing Applications

Most data that is inherently discrete needs to be compressed in such a way that it can be recovered exactly, without any loss. Examples include text of all kinds, experimental results, and statistical databases. Other forms of data may need to be stored exactly, such as images—particularly bilevel ones, or ones arising in medical and remote-sensing applications, or ones that may be required to be certified true for legal reasons. Moreover, during the process of lossy compression, many occasions for lossless compression of coefficients or other information arise. This paper surveys techniques for lossless compression. The process of compression can be broken down into modeling and coding. We provide an extensive discussion of coding techniques, and then introduce methods of modeling that are appropriate for text and images. Standard methods used in popular utilities (in the case of text) and international standards (in the case of images) are described.

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