Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Lossy compression

Known as: Lossy, Lossy data compression, Irreversible compression 
In information technology, lossy compression or irreversible compression is the class of data encoding methods that uses inexact approximations and… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Driven by the special requirements of the low-power and lossy networks (LLNs), the IPv6 routing protocol for LLNs (RPL) was… Expand
  • figure 1
  • figure 2
  • table 1
  • figure 3
  • table 2
Is this relevant?
Review
2018
Review
2018
Abstract The nitrides of most of the group IVb-Vb-VIb transition metals (TiN, ZrN, HfN, VN, NbN, TaN, MoN, WN) constitute the… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Review
2018
Review
2018
A few years ago, the IPv6 Routing Protocol for Low-power and Lossy Networks (RPL) was proposed by IETF as the routing standard… Expand
Is this relevant?
Review
2018
Review
2018
Abstract The bandwidth of the communication networks has been increased continuously as results of technological advances… Expand
Is this relevant?
Review
2017
Review
2017
In recent years, Internet of Things (IoT), which aims to achieve ubiquitous communication among a large number of resource… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • table 2
Is this relevant?
Highly Cited
2017
Highly Cited
2017
We propose a new approach to the problem of optimizing autoencoders for lossy image compression. New media formats, changing… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2008
Highly Cited
2008
In this paper, we cast natural-image segmentation as a problem of clustering texture features as multivariate mixed data. We… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2008
Highly Cited
2008
Recent results in compressive sampling have shown that sparse signals can be recovered from a small number of random measurements… Expand
Is this relevant?
Highly Cited
2007
Highly Cited
2007
Transform-based lossy compression has a huge potential for hyperspectral data reduction. Hyperspectral data are 3-D, and the… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • table I
Is this relevant?
Highly Cited
1991
Highly Cited
1991
From the Publisher: Topics in this guide to data compression techniques include the Shannon-Fano and Huffman coding techniques… Expand
  • figure 2.1
  • figure 2.2
  • figure 2.3
Is this relevant?