Adaptive Image Enhancement Based on Fractional Differential Mask

被引：0

作者：

Chen, Dali ^{[1
]}

Chen, YangQuan ^{[2
]}

Xue, Dingyu ^{[1
,3
]}

Pan, Feng ^{[1
,3
]}

机构：

[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110004, Peoples R China

[2] Utah State Univ, CSOIS, Dept Elect & Comp Engn, Logan, UT 84322 USA

[3] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110004, Peoples R China

来源：

PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2012年

关键词：

Fractional order; Differentiator; Image Enhancement;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, an adaptive image enhancement based on fractional differential mask is proposed. Firstly, the designing method of the fractional differential mask is introduced and the image enhancing strategy based on the fractional differential mask is presented. Then, an unsupervised method is introduced to optimize the fractional order parameter by using the statistical character of digital image. The experiments demonstrate the validity of the proposed image enhancing algorithm.

引用

页码：1043 / 1047

页数：5

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