Monochrome Image Impulse Noise Removal Considering Line Structure

被引:0
|
作者
Ruan, Liangyu [1 ]
Yang, Weiran [1 ]
Wang, Wujun [1 ]
Wang, Wenjie [2 ]
Ru, Yi [1 ]
机构
[1] Inner Mongolia Univ, Coll Comp Sci, Hohhot 010021, IM, Peoples R China
[2] Inner Mongolia Intelligent Elect Data Serv Corp L, Hohhot 010010, IM, Peoples R China
来源
ADVANCED INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS, PT IV, ICIC 2024 | 2024年 / 14865卷
关键词
Impulse noise; Noise removal; Line structure; PEPPER NOISE; FILTER; SALT;
D O I
10.1007/978-981-97-5591-2_36
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Impulse noise affects images during compression or transmission, reducing their quality. Considering the line structures of images during the restoration process of pixel values contaminated by impulse noise can enhance the image's quality. The Line Structure Filter (LSF) method not only eliminates impulse noise but also effectively restores line structures in images. Here, we introduce a dual filtering strategy based on LSF. This strategy utilizes two differently sized filters: the first detects line structures in horizontal and vertical directions; the second expands to four directions. Filtering window selection is based on regional characteristics. Combining different filtering windows more effectively preserves image line structures. Experimental results show that our algorithm outperforms existing methods in removing impulse noise and restoring line structures.
引用
收藏
页码:424 / 435
页数:12
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