Multimedia Image Compression Method Based on Biorthogonal Wavelet and Edge Intelligent Analysis

At present, network image communication is still restricted by channel coding, image and multimedia transmission and other key technologies. Therefore, the transmission process needs to convert the image signal into a digital signal, and then use the relevant band compression technology to reduce th...

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Bibliographic Details
Published in:IEEE access 2020, Vol.8, p.67354-67365
Main Authors: Liu, Tao, Wu, Yalin
Format: Article
Language:English
Subjects:
Basis functions
Biomedical imaging
biorthogonal wavelet
Compression ratio
Compression tests
Decomposition
Digital imaging
discrete cosine transform
Frequencies
Image coding
Image compression
Image reconstruction
Image transmission
Linear phase
Multimedia
Multimedia image compression
multimedia transmission
Signal processing
Time-frequency analysis
Wavelet analysis
Wavelet packets
Wavelet transforms
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Summary:At present, network image communication is still restricted by channel coding, image and multimedia transmission and other key technologies. Therefore, the transmission process needs to convert the image signal into a digital signal, and then use the relevant band compression technology to reduce these signals to narrow the occupied frequency band, that is, to reduce the amount of information to be transmitted in synchronous transmission. Wavelet transform is a powerful tool for image compression because of its low entropy, multi-resolution, decorrelation and flexible base selection. In this paper, a method of multimedia image compression based on biorthogonal wavelet packet is proposed, which includes the establishment of linear phase biorthogonal wavelet basis, the selection of 3 or 4 levels of wavelet decomposition and reconstruction stage, and the combination of improved band division and preservation strategy. Finally, a compression test is performed based on the selected wavelet basis function and the optimal decomposition and reconstruction layers of the standard test image, which enables to obtain a more ideal compression ratio.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.2984263