scholarly journals Selection of bi-level image compression method for reduction of communication energy in wireless visual sensor networks

2012 ◽  
Author(s):  
Khursheed Khursheed ◽  
Muhammad Imran ◽  
Naeem Ahmad ◽  
Mattias O'Nils
Keyword(s):  
Sensor Networks ◽  
Image Compression ◽  
Compression Method ◽  
Visual Sensor ◽  
Visual Sensor Networks ◽  
Wireless Visual Sensor Networks ◽  
Selection Of

Low complexity DCT for image compression in wireless visual sensor networks

2013 ◽  
Vol 49 (24) ◽  
pp. 1531-1532 ◽  
Author(s):  
N. Kouadria ◽  
N. Doghmane ◽  
D. Messadeg ◽  
S. Harize
Keyword(s):  
Sensor Networks ◽  
Image Compression ◽  
Low Complexity ◽  
Visual Sensor ◽  
Visual Sensor Networks ◽  
Wireless Visual Sensor Networks

scholarly journals A Survey of Image Compression Algorithms for Visual Sensor Networks

2012 ◽  
Vol 2012 ◽  
pp. 1-19 ◽  
Author(s):  
Abdelhamid Mammeri ◽  
Brahim Hadjou ◽  
Ahmed Khoumsi
Keyword(s):  
Sensor Networks ◽  
Image Compression ◽  
Compression Method ◽  
Energy Aware ◽  
Visual Sensor ◽  
Compression Algorithms ◽  
Power Efficient ◽  
Visual Sensor Networks ◽  
Open Research ◽  
New Strategies

With the advent of visual sensor networks (VSNs), energy-aware compression algorithms have gained wide attention. That is, new strategies and mechanisms for power-efficient image compression algorithms are developed, since the application of the conventional methods is not always energy beneficial. In this paper, we provide a survey of image compression algorithms for visual sensor networks, ranging from the conventional standards such as JPEG and JPEG2000 to a new compression method, for example, compressive sensing. We provide the advantages and shortcomings of the application of these algorithms in VSN, a literature review of their application in VSN, as well as an open research issue for each compression standard/method. Moreover, factors influencing the design of compression algorithms in the context of VSN are presented. We conclude by some guidelines which concern the design of a compression method for VSN.

scholarly journals An Improved Image Steganography Scheme Based on Partial Preservation Embedding Algorithm for Wireless Visual Sensor Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Qian Shen ◽  
Tao Jiang ◽  
Yongjun Zhu ◽  
Yin Wu
Keyword(s):  
Sensor Networks ◽  
Frequency Band ◽  
Poor Performance ◽  
Least Significant Bit ◽  
Medium Frequency ◽  
Visual Sensor ◽  
Secret Data ◽  
Visual Sensor Networks ◽  
Noise Interference ◽  
Wireless Visual Sensor Networks

With the continuous improvement of encryption algorithms, some applications based on the architecture of wireless visual sensor networks have gradually shifted their attention to the imperceptibility and antijamming performance of secret images. To reduce the probability of secret images being detected, the current research focuses on hiding secret data in the least-significant bit of the cover image in the spatial domain or embedding data into the coefficients of the high-frequency band in the transformational domain, which usually leads to poor performance in a hostile environment. Therefore, some researchers proposed to substitute the coefficients of the medium-frequency band in the transformational domain with secret information to enhance the anti-interference performance. However, this idea would severely affect the imperceptibility of secret images. As a result, an improved version based on the partial preservation embedding algorithm was designed in this paper. Theory analysis and simulation results indicate that the proposed scheme performs better than the existing methods by directly substituting the coefficients of the medium-frequency band in the transformational domain, especially in the case of strong noise interference.

Visual Sensor Network Processing and Preventative Steganalysis

2011 ◽  
pp. 340-357
Author(s):  
Julien Sebastien Jainsky ◽  
Deepa Kundur
Keyword(s):  
Sensor Networks ◽  
Sensor Network ◽  
High Rate ◽  
Visual Sensor ◽  
Visual Sensor Network ◽  
Visual Sensor Networks ◽  
Steganographic Attacks ◽  
Wireless Visual Sensor Networks ◽  
The Moment ◽  
Rate Of Success

In this chapter, we discuss the topic of security in wireless visual sensor networks. In particular, attention is brought to steganographic security and how it can be discouraged without challenging the primary objectives of the network. We motivate the development and implementation of more lightweight steganalytic solutions that take into account the resources made available by the network’s deployment and its application in order to minimize the steganalysis impact on the WVSN workload. The concept of preventative steganalysis is also introduced in this chapter as a means to protect the network from the moment it is deployed. Preventative steganalysis aims at discouraging any potential steganographic attacks by processing the WVSN collected data such that the possibility of steganography becomes very small and the steganalysis leads to high rate of success.

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