IDSSE OpenIR  > 深海工程技术部  > 深海信息技术研究室
Underwater Acoustic Image Encoding Based on Interest Region and Correlation Coefficient
Liu Lixin1; Guo Feng1,2; Wu Jinqiu3
2018
Source PublicationCOMPLEXITY
ISSN1076-2787
Pages13
AbstractIt 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.
DOI10.1155/2018/5647519
Funding OrganizationNational Natural Science Foundation of China ; Innovation Foundation of Chinese Academy of Sciences ; Natural Science Foundation of Hainan Province ; Young Talents' Science and Technology Innovation Project of Hainan Association for Science and Technology ; National Key Research and Development Program of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Fundamental Research Funds in Heilongjiang Provincial Department of Education
Language英语
Funding ProjectNational Natural Science Foundation of China[61701487] ; Innovation Foundation of Chinese Academy of Sciences[CXJJ-17-M126] ; Natural Science Foundation of Hainan Province[417211] ; Young Talents' Science and Technology Innovation Project of Hainan Association for Science and Technology[QCXM201812] ; National Key Research and Development Program of China[2016YFC1400100] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA13030000] ; Fundamental Research Funds in Heilongjiang Provincial Department of Education[135209239]
WOS Research AreaMathematics ; Science & Technology - Other Topics
WOS SubjectMathematics, Interdisciplinary Applications ; Multidisciplinary Sciences
WOS IDWOS:000449229400001
PublisherWILEY-HINDAWI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.idsse.ac.cn/handle/183446/6302
Collection深海工程技术部_深海信息技术研究室
Corresponding AuthorLiu Lixin
Affiliation1.Chinese Acad Sci, Inst Deep Sea Sci & Engn, Sanya 572000, Hainan, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Beijing Inst Control & Elect Technol, Beijing 100038, Peoples R China
First Author AffilicationInstitute of Deep-sea Science and Engineering,CAS
Corresponding Author AffilicationInstitute of Deep-sea Science and Engineering,CAS
Recommended Citation
GB/T 7714
Liu Lixin,Guo Feng,Wu Jinqiu. Underwater Acoustic Image Encoding Based on Interest Region and Correlation Coefficient[J]. COMPLEXITY,2018:13.
APA Liu Lixin,Guo Feng,&Wu Jinqiu.(2018).Underwater Acoustic Image Encoding Based on Interest Region and Correlation Coefficient.COMPLEXITY,13.
MLA Liu Lixin,et al."Underwater Acoustic Image Encoding Based on Interest Region and Correlation Coefficient".COMPLEXITY (2018):13.
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