Application research of denoising and super pixel algorithm in image processing

被引:1
|
作者
Sun, Qian [1 ]
Xin, Li [1 ]
Gao, Hanxu [1 ]
Chang, Faliang [2 ]
Zhao, Zengshun [1 ,2 ,3 ]
机构
[1] Shandong Univ Sci & Technol, Coll Elect Commun & Phis, Qingdao 266590, Shandong, Peoples R China
[2] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China
[3] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
D O I
10.1088/1742-6596/1187/4/042015
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
With the popularization and development of science and technology, mobile phone, tablet and computer has become the necessities of people, whether work or life, the emergence of science and technology, development and rich brought a whole new world for human civilization, including electronic information in time and space communication provides convenient conditions for people, especially the image processing technology, in the life is very broad. At present, smart phones have become extremely common, and users have a huge demand for images. Every link is inseparable from the formation, acquisition, transmission and acceptance of images. However, in every link, images will be more or less polluted by noise, resulting in users' inability to obtain the desired image effect. However, if the noise is directly optimized or removed, the accuracy of the image will be affected. Therefore, the advanced noise removal technology plays a crucial role in the efficient use of the image. Image superpixel is to gather pixels with similar attributes into a region to represent the image instead of pixels, so as to reduce the order of magnitude of the image atomic structure and further reduce the complexity of the subsequent image processing algorithm, which provides the possibility for the real-time performance of the image processing algorithm.
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页数:6
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