Adaptive Fractional Image Enhancement Algorithm Based on Rough Set and Particle Swarm Optimization

被引：21

作者：

Zhang, Xuefeng ^{[1
]}

Liu, Ri ^{[2
]}

Ren, Jianxu ^{[2
]}

Gui, Qinglong ^{[2
]}

机构：

[1] Northeastern Univ, Coll Sci, Shenyang 110819, Peoples R China

[2] Northeastern Univ, Sch Mech Engn & Automat, Shenyang 110819, Peoples R China

来源：

FRACTAL AND FRACTIONAL | 2022年 / 6卷 / 02期

关键词：

image enhancement; fractional differential; rough set; particle swarm optimization; adaptive algorithm; CONTRAST ENHANCEMENT; ADMISSIBILITY; ENTROPY; PSO;

D O I：

10.3390/fractalfract6020100

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

This paper proposes a new image enhancement algorithm. At first, the paper uses the combination of rough set and particle swarm optimization (PSO) algorithm to distinguish the smooth area, edge and texture area of the image. Then, according to the results of image segmentation, an adaptive fractional differential filter is used to enhance the image. Finally, the experimental results show that the image enhanced by this algorithm has clear edge, rich texture details, and retains the information of the smooth area of the image.

引用

页数：18

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