A novel hybrid image fusion method based on integer lifting wavelet and discrete cosine transformer for visual sensor networks

Latreche, Boubakeur; Saadi, Slami; Kious, Mecheri; Benziane, Ali

doi:10.1007/s11042-018-6676-z

Cited by 10 publications

(9 citation statements)

References 70 publications

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“…This approach significantly decreased the network traffic, which will consequently prolong the network lifetime. Latreche et al 7 are based on the image fusion algorithms where a final informative image results from combined scenes captured in the monitoring area at different distances and resolution angles. This hybrid multimedia image fusion uses integer lifting wavelet transform (ILWT) and the DCT to generate high-quality fused images.…”

Section: Related Workmentioning

confidence: 99%

“…4 To address this problem, several research efforts proposed energy-efficient routing protocols, 5 data compression algorithms, 6 and distributed processing models. 7…”

Section: Introductionmentioning

confidence: 99%

“…Even though this approach is suitable for image-based recognition applications, it would require careful effort to design a low-complexity scheme that provides a trade-off between the accuracy of target recognition and the energy savings on the source sensor. 7,8 However, an accurate image-based recognition process might require the invocation of sophisticated methods for features extraction. Therefore, executing the whole scheme in one node could strongly exhaust its embedded energy that questions the practical validity of the application.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A distributed scheme for energy-efficient event-based target recognition using Internet of Multimedia Things

Al-Sabhan

Soudani

AlMusallam

2022

International Journal of Distributed Sensor Networks

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The availability of low-cost embedded devices for multimedia sensing has encouraged their integration with low-power wireless sensors to create systems that enable advanced services and applications referred to as the Internet of Multimedia Things. Image-based sensing applications are challenged by energy efficiency and resource availability. Mainly, image sensing and transmission in Internet of Multimedia Things severely deplete the sensor energy and overflow the network bandwidth with redundant data. Some solutions presented in the literature, such as image compression, do not efficiently solve this problem because of the algorithms’ computational complexities. Thus, detecting the event of interest locally before the communication using shape-based descriptors would avoid useless data transmission and would extend the network lifetime. In this article, we propose a new approach of distributed event-based sensing scheme over a set of nodes forming a processing cluster to balance the processing load. This approach is intended to reduce per-node energy consumption in one sensing cycle. The conducted experiments show that our novel method based on the general Fourier descriptor decreases the energy consumption in the camera node to only 2.4 mJ, which corresponds to 75.32% of energy-saving compared to the centralized approach, promising to prolong the network lifetime significantly. In addition, the scheme achieved more than 95% accuracy in target recognition.

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Section: Related Workmentioning

confidence: 99%

“…4 To address this problem, several research efforts proposed energy-efficient routing protocols, 5 data compression algorithms, 6 and distributed processing models. 7…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A distributed scheme for energy-efficient event-based target recognition using Internet of Multimedia Things

Al-Sabhan

Soudani

AlMusallam

2022

International Journal of Distributed Sensor Networks

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“…In [6], a new multiobjective optimization algorithm was proposed to search for an efficient integer DCT matrix, which had the coding performance as close as possible to the transform in high-efficiency video coding but implemented with reduced hardware and power. In [7], an efficient hybrid image fusion method was proposed which is suitable for visual sensor networks based on the integer lifting wavelet transform and the DCT. In [8], a reconfigurable transform architecture was presented to flexibly support the reusability of different transform sizes.…”

Section: Related Workmentioning

confidence: 99%

Improving the Quality of Left-Behind Children’s Participation in Sports through Wireless Network Monitoring

Zhao

2021

Mobile Information Systems

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Urbanization is the process that people shift from rural to urban areas, which has led to large numbers of left-behind children in China. The left-behind children stay in rural regions of China while their parents work in urban areas. The left-behind children have few opportunities to participate in sports due to the lacking of concern, and it is not of high quality even though they participate in sports. Therefore, it is necessary to improve the quality of left-behind children's sports participation through wireless network monitoring. Wireless network monitoring transmits high-definition (HD) video streaming in real time to facilitate feedback timely. This paper studies the two-dimensional (2D) integer discrete cosine transform (DCT) and analyzes the reason for image distortion, then an improved DCT coefficient quantization approach is proposed for long-distance real-time transmission of HD video streaming, and a noise processing with a zero-mean noise processing is added in optimized approach to solve the image distortion problem. The experimental results show that the proposed improved approach has a good performance in reducing the blocking artifacts, and within the image reconstruction, the proposed approach improves the subjective video quality.

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“…Therefore, some objective evaluation indexes of a fused image and its mathematical formula are listed in Table 1. Combining the characteristics of underwater sonar images, average gradient (AG) [36], figure definition (FD), information entropy (E) [37], root mean square cross entropy (RCE) [38], mutual information (MI) [9], edge-based similarity measure (Q AB/F ) [14], structural similarity index (SSIM) [39], and indexes of Piella [40] are applied to objectively evaluate the fused image. Table 1.…”

Section: Quality Evaluation Of Fused Imagementioning

confidence: 99%

Side-Scan Sonar Image Fusion Based on Sum-Modified Laplacian Energy Filtering and Improved Dual-Channel Impulse Neural Network

et al. 2020

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The operation mode of a single strip provides incomplete side-scan sonar image in a specific environment and range, resulting in the overlapping area between adjacent strips often with imperfect detection information or inaccurate target contour. In this paper, a sum-modified Laplacian energy filtering (SMLF) and improved dual-channel pulse coupled neural network (IDPCNN) are proposed for image fusion of side-scan sonar in the domain of nonsubsampled contourlet transform (NSCT). Among them, SMLF energy is applied to extract the fusion coefficients of the low frequency sub-band, which combines the characteristics of energy information, human visual contrast, and guided filtering to eliminate the pseudo contour effect of block flow. In addition, the IDPCNN model, which utilizes the average gradient, soft limit function, and novel sum-modified Laplacian (NSML) to adaptively represent the corresponding excitation parameters, is applied to improve the depth and activity of pulse ignition, so as to quickly and accurately select the image coefficients of the high frequency sub-band. The experimental results show that the proposed method displays fine geomorphic information and clear target contour in the overlapping area of adjacent strips. The objective index values are generally optimal, which reflect the information of image edge, clarity, and overall similarity.

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A novel hybrid image fusion method based on integer lifting wavelet and discrete cosine transformer for visual sensor networks

Cited by 10 publications

References 70 publications

A distributed scheme for energy-efficient event-based target recognition using Internet of Multimedia Things

A distributed scheme for energy-efficient event-based target recognition using Internet of Multimedia Things

Improving the Quality of Left-Behind Children’s Participation in Sports through Wireless Network Monitoring

Side-Scan Sonar Image Fusion Based on Sum-Modified Laplacian Energy Filtering and Improved Dual-Channel Impulse Neural Network

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