Enhancement of Satellite Image Compression Using a Hybrid (DWT–DCT) Algorithm

Shihab, Halah Saadoon; Shafie, Suhaidi; Ramli, Abdul Rahman; Ahmad, Fauzan

doi:10.1007/s11220-017-0183-6

Cited by 20 publications

(7 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From equations ( 10) and (11), combined with the rate formula (2), this paper gives the expression of the transmission delay ct ai of MD ai as follows:…”

Section: Heuristic Energy Efficiency Optimization Algorithm Formentioning

confidence: 99%

“…So far, video actions are still in the stage of action vision research, that is, by extracting some features from training data, using supervised or unsupervised training to create classification models, extracting features from new data, and sending them to the model to obtain classification results [10]. From the perspective of video action recognition input under public performance art, video action recognition under the framework of public performance art has developed from action recognition in images to human action recognition in the video process [11]. Recognition is the process of learning and understanding human behavior by processing and analyzing the original images or sequences collected by sensors.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Performance Art Video Action Management Oriented to 6G Wireless Transmission Technology

Wang

Cho

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

With the development of 5G communication networks, the development prospects, capability requirements, and key technologies of the next-generation communication system 6G have become new hotspots. This article expands the coverage of the communication system through 6G, realizes the wireless transmission technology, builds the ideal of an intelligent mobile society everywhere, and analyzes the development trend of 6G technology, the challenges it faces, and the possible wireless transmission technology. Wireless transmission technology is widely used in various fields of production and life. Its various technical requirements and terminal energy limitations restrict the application and development of communications. This article focuses on the high-efficiency optimization scheme that combines 6G wireless transmission technology to improve the utilization efficiency of network resources. In addition, this thesis also discusses video action management in public performance art. Based on public performance art, the research on video action recognition can be summarized into three levels from simple to complex according to the content of the action, namely mobile vision, action vision, and action vision. Video action vision is currently being studied. In the recognition process, most of the action frame information in the video is repetitive or has a low correlation with action recognition, which not only increases the complexity of calculation but also affects the accuracy of action recognition. In the process of feature selection and understanding, the main methods include characterization fusion and research based on gesture features. Based on the introduction of 6G wireless transmission technology, this article introduces the technological development of 6G network, which promotes the rapid development of public performance art video action management.

show abstract

“…From equations ( 10) and (11), combined with the rate formula (2), this paper gives the expression of the transmission delay ct ai of MD ai as follows:…”

Section: Heuristic Energy Efficiency Optimization Algorithm Formentioning

confidence: 99%

mentioning

confidence: 99%

Performance Art Video Action Management Oriented to 6G Wireless Transmission Technology

Wang

Cho

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…Discrete Wavelet Transform (DWT) algorithms have been utilized in most of the earth observation satellites during the last few decades. [26]. In a typical data compression system, the first step is the two dimensional DWT based forward transformation, separating images into high-frequency and low-frequency part, in order to concentrate the most essential signal into the few low frequency parts.…”

Section: Image Compressionmentioning

confidence: 99%

Small Satellite Cloud Detection Based On Deep Learning and Image Compression

Zhang¹,

Iwasaki²,

Xu³

et al. 2018

Preprint

View full text Add to dashboard Cite

An effective on-board cloud detection method in small satellites would greatly improve the downlink data transmission efficiency and reduce the memory cost. In this paper, an ensemble method combining a lightweight U-Net with wavelet image compression is proposed and evaluated. The red, green, blue and infrared waveband images from Landsat-8 dataset are trained and tested to estimate the performance of proposed method. The LeGall-5/3 wavelet transform is applied on the dataset to accelerate the neural network and improve the feasibility of on-board implement. The experiment results illustrate that the overall accuracy of the proposed model achieves 97.45% by utilizing only four bands. Tests on low coefficients of compressed dataset have shown that the overall accuracy of the proposed method is still higher than 95%, while its inference speed is accelerated to 0.055 second per million pixels and maximum memory cost reduces to 2Mb. By taking advantage of mature image compression system in small satellites, the proposed method provides a good possibility of on-board cloud detection based on deep learning.

show abstract

“…So far, video actions are still in the stage of action vision research, that is, by extracting some features from training data, using supervised or unsupervised training to create classification models, extracting features from new data, and sending them to the model to obtain classification results (Shi, Cuiping & Wang, Liguo, 2017). From the perspective of video action recognition input under public performance art, video action recognition under the framework of public performance art has developed from action recognition in images to human action recognition in the video process (Shihab, H.S., Shafie, S., Ramli, A.R., & Ahmad, F, 2017). Recognition is the process of learning and understanding human behavior by processing and analyzing the original images or sequences collected by sensors.…”

Section: Introductionmentioning

confidence: 99%

Performance Art Video Action Management Oriented to 6G Wireless Transmission Technology

Wang¹,

Cho²

2023

JHASS

View full text Add to dashboard Cite

With the development of 5G communication networks, the development prospects, capability requirements and key technologies of the next-generation communication system 6G have become new hotspots. This article expands the coverage of the communication system through 6G, realizes the wireless transmission technology, builds the ideal of an intelligent mobile society everywhere, and analyzes the development trend of 6G technology, the challenges it faces, and the possible wireless transmission technology. Wireless transmission technology is widely used in various fields of production and life. Its various technical requirements and terminal energy limitations restrict the application and development of communications. This article focuses on the high-efficiency optimization scheme that combines 6G wireless transmission technology to improve the utilization efficiency of network resources. In addition, this thesis also discusses video action management in public performance art. Based on public performance art, the research on video action recognition can be summarized into three levels from simple to complex according to the content of the action, namely mobile vision, action vision and action vision. Video action vision is currently being studied. In the recognition process, most of the action frame information in the video is repetitive or has a low correlation with action recognition, which not only increases the complexity of calculation, but also affects the accuracy of action recognition. In the process of feature selection and understanding, the main methods include characterization fusion and research based on gesture features. Based on the introduction of 6G wireless transmission technology, this article introduces the technological development of 6G network, which promotes the rapid development of public performance art video action management.

show abstract

Enhancement of Satellite Image Compression Using a Hybrid (DWT–DCT) Algorithm

Cited by 20 publications

References 18 publications

Performance Art Video Action Management Oriented to 6G Wireless Transmission Technology

Performance Art Video Action Management Oriented to 6G Wireless Transmission Technology

Small Satellite Cloud Detection Based On Deep Learning and Image Compression

Performance Art Video Action Management Oriented to 6G Wireless Transmission Technology

Contact Info

Product

Resources

About