Fast sparse fractal image compression
文献类型：期刊论文
| 作者 | Wang, Jianji3,4; Chen, Pei3,4; Xi, Bao5 ; Liu, Jianyi3,4; Zhang, Yi2; Yu, Shujian1
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| 刊名 | PLOS ONE
 |
| 出版日期 | 2017-09-08 |
| 卷号 | 12期号:9页码:18 |
| ISSN号 | 1932-6203 |
| DOI | 10.1371/journal.pone.0184408 |
| 通讯作者 | Wang, Jianji(wangjianji@xjtu.edu.cn) |
| 英文摘要 | As a structure-based image compression technology, fractal image compression (FIC) has been applied not only in image coding but also in many important image processing algorithms. However, two main bottlenecks restrained the develop and application of FIC for a long time. First, the encoding phase of FIC is time-consuming. Second, the quality of the reconstructed images for some images which have low structure-similarity is usually unacceptable. Based on the absolute value of Pearson's correlation coefficient (APCC), we had proposed an accelerating method to significantly speed up the encoding of FIC. In this paper, we make use of the sparse searching strategy to greatly improve the quality of the reconstructed images in FIC. We call it the sparse fractal image compression (SFIC). Furthermore, we combine both the APCC-based accelerating method and the sparse searching strategy to propose the fast sparse fractal image compression (FSFIC), which can effectively improve the two main bottlenecks of FIC. The experimental results show that the proposed algorithm greatly improves both the efficiency and effectiveness of FIC. |
| WOS关键词 | CLASSIFICATION ; SCHEME ; RECOGNITION ; DICTIONARY ; SET |
| 资助项目 | National Natural Science Foundation of China[61401351] ; China Postdoctoral Science Foundation[2014M560782] |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:000410001100109 |
| 出版者 | PUBLIC LIBRARY SCIENCE |
| 资助机构 | National Natural Science Foundation of China ; China Postdoctoral Science Foundation |
| 源URL | [http://ir.ia.ac.cn/handle/173211/28034]  |
| 专题 | 智能机器人系统研究 |
| 通讯作者 | Wang, Jianji |
| 作者单位 | 1.Univ Florida, Computat NeuroEngn Lab, Gainesville, FL USA 2.Shandong Univ Sci & Technol, Coll Mech & Elect Engn, Qingdao, Shandong, Peoples R China 3.Xi An Jiao Tong Univ, Inst Artificial Intelligence & Robot, Xian, Shaanxi, Peoples R China 4.Xi An Jiao Tong Univ, Natl Engn Lab Visual Informat Proc & Applicat, Xian, Shaanxi, Peoples R China 5.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Jianji,Chen, Pei,Xi, Bao,et al. Fast sparse fractal image compression[J]. PLOS ONE,2017,12(9):18. |
| APA | Wang, Jianji,Chen, Pei,Xi, Bao,Liu, Jianyi,Zhang, Yi,&Yu, Shujian.(2017).Fast sparse fractal image compression.PLOS ONE,12(9),18. |
| MLA | Wang, Jianji,et al."Fast sparse fractal image compression".PLOS ONE 12.9(2017):18. |
入库方式： OAI收割
来源：自动化研究所
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