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Orthogonal sparse fractal coding algorithm based on image texture feature
Cao, Jian1; Zhang, Aihua1; Shi, Lei2,3
Department瞬态光学技术国家重点实验室
2019-09-10
Source PublicationIET IMAGE PROCESSING
ISSN1751-9659;1751-9667
Volume13Issue:11Pages:1872-1879
Contribution Rank2
Abstract

Fractal image compression coding algorithm is a novel image compression technology; however, the long encoding time and unacceptable image reconstruction quality remain the primary obstacles in practical application. The purpose of this study is to improve the coding quality from the perspective of grey level transform and feature extraction. In this study, a novel orthogonal sparse fractal coding algorithm based on image texture feature is proposed. The authors define a normalised version as the new grey description feature of the image block so that two improved methods are scientifically combined in theory and algorithm. First, orthogonal sparse grey level transform based on sparse decomposition improves image reconstruction quality and decoding speed. Then, the similarity measure matrix, which stores the variance feature between range blocks and domain blocks, is used to reduce redundancies and encoding time. Simulation results show that the proposed algorithm in this study can obtain better image reconstruction quality and speed up encoding time significantly as compared to the conventional fractal coding schemes.

Keywordimage coding feature extraction fractals data compression image texture image reconstruction orthogonal codes image colour analysis transforms decomposition matrix algebra orthogonal sparse grey level sparse decomposition decoding speed orthogonal sparse fractal coding algorithm image reconstruction quality image texture feature extraction fractal image compression coding algorithm grey description feature extraction orthogonal sparse grey level transform
DOI10.1049/iet-ipr.2019.0085
Indexed BySCI ; EI
Language英语
WOS IDWOS:000487789000007
PublisherINST ENGINEERING TECHNOLOGY-IET
EI Accession Number20193907482865
Citation statistics
Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/31881
Collection瞬态光学技术国家重点实验室
Corresponding AuthorZhang, Aihua
Affiliation1.Nanjing Univ Posts & Telecommun, Coll Sci, Nanjing, Jiangsu, Peoples R China
2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian, Shaanxi, Peoples R China
3.Univ Chinese Acad Sci, Coll Optoelect, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Cao, Jian,Zhang, Aihua,Shi, Lei. Orthogonal sparse fractal coding algorithm based on image texture feature[J]. IET IMAGE PROCESSING,2019,13(11):1872-1879.
APA Cao, Jian,Zhang, Aihua,&Shi, Lei.(2019).Orthogonal sparse fractal coding algorithm based on image texture feature.IET IMAGE PROCESSING,13(11),1872-1879.
MLA Cao, Jian,et al."Orthogonal sparse fractal coding algorithm based on image texture feature".IET IMAGE PROCESSING 13.11(2019):1872-1879.
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