Underwater Acoustic Image Encoding Based on Interest Region and Correlation Coefficient
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-21
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
It is difficult for the conventional image compression method to achieve good compression effect in the underwater acoustic image (UWAI), because the UWAI has large amount of noise and low correlation between pixel points.
In this paper, fractal coding is introduced into UWAI compression, and a fractal coding algorithm based on interest region is proposed according to the importance of different regions in the image.
The application problems of traditional quadtree segmentation in UWAIs was solved by the range block segmentation method in the coding process which segmented the interest region into small size and the noninterest region into large size and balanced the compression ratio and the decoded image quality.
This paper applies the classification, reduction codebook, and correlation coefficient matching strategy to narrow the search range of the range block in order to solve the problem of the long encoding time and the calculation amount of encoding process is greatly reduced.
The experimental results show that the proposed algorithm improves the compression ratio and encoding speed while ensuring the image quality of important regions in the UWAI.
American Psychological Association (APA)
Lixin, Liu& Feng, Guo& Wu, Jinqiu. 2018. Underwater Acoustic Image Encoding Based on Interest Region and Correlation Coefficient. Complexity،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1134730
Modern Language Association (MLA)
Lixin, Liu…[et al.]. Underwater Acoustic Image Encoding Based on Interest Region and Correlation Coefficient. Complexity No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1134730
American Medical Association (AMA)
Lixin, Liu& Feng, Guo& Wu, Jinqiu. Underwater Acoustic Image Encoding Based on Interest Region and Correlation Coefficient. Complexity. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1134730
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134730