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

Author(s):  
Khursheed Khursheed ◽  
Muhammad Imran ◽  
Naeem Ahmad ◽  
Mattias O'Nils
2013 ◽  
Vol 49 (24) ◽  
pp. 1531-1532 ◽  
Author(s):  
N. Kouadria ◽  
N. Doghmane ◽  
D. Messadeg ◽  
S. Harize

2012 ◽  
Vol 2012 ◽  
pp. 1-19 ◽  
Author(s):  
Abdelhamid Mammeri ◽  
Brahim Hadjou ◽  
Ahmed Khoumsi

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.


2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Qian Shen ◽  
Tao Jiang ◽  
Yongjun Zhu ◽  
Yin Wu

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.


Author(s):  
Julien Sebastien Jainsky ◽  
Deepa Kundur

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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