CONTRAST ENHANCEMENT USING TEXTURE HISTOGRAM AND FUZZY ENTROPY

被引：0
|
作者：
Guo, Yanhui [1 ]
Cheng, H. D. [2 ]
Huang, Jianhua [1 ]
Zhao, Wei [1 ]
Tang, Xianglong [1 ]
机构：
[1] Harbin Inst Technol, Sch Comp Sci & Technol, POB 352, Harbin 150001, Heilongjiang, Peoples R China
[2] Utah State Univ, Dept Comp Sci, Logan, UT 84322 USA
来源：
NEW MATHEMATICS AND NATURAL COMPUTATION | 2007年 / 3卷 / 03期
关键词：
Contrast enhancement; fuzzy logic; texture analysis; maximum entropy principle;
D O I：
10.1142/S1793005707000835
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
Image enhancement is used to correct contrast deficiencies and to improve the quality of an image. It is essential and critical to extracting features and segmenting images. This paper presents a novel contrast enhancement algorithm based on newly defined texture histogram and fuzzy entropy with the ability to preserve edges and details, while avoiding noise amplification and over-enhancement. To demonstrate the performance, the proposed algorithm is tested on a variety of images and compared with other enhancement algorithms. Experimental results proved that the proposed method has better performance in enhancing images without over-enhancement and under-enhancement.
引用
收藏
页码：349 / 365
页数：17
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