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
相关论文
共 50 条
  • [41] Infrared images enhancement using fuzzy dissimilarity histogram equalization
    Paul, Abhisek
    Sutradhar, Tandra
    Bhattacharya, Paritosh
    Maity, Santi P.
    OPTIK, 2021, 247
  • [42] Range Limited Peak-Separate Fuzzy Histogram Equalization for image contrast enhancement
    Shangbo Zhou
    Fuping Zhang
    Muhammad Abubakar Siddique
    Multimedia Tools and Applications, 2015, 74 : 6827 - 6847
  • [43] Range Limited Peak-Separate Fuzzy Histogram Equalization for image contrast enhancement
    Zhou, Shangbo
    Zhang, Fuping
    Siddique, Muhammad Abubakar
    MULTIMEDIA TOOLS AND APPLICATIONS, 2015, 74 (17) : 6827 - 6847
  • [44] Histogram shape based gaussian histogram specification for contrast enhancement
    Jayasankari S.
    Domnic S.
    Revue d'Intelligence Artificielle, 2019, 33 (06): : 415 - 426
  • [45] Image Contrast Enhancement using Fuzzy Technique
    Reshmalakshmi, C.
    Sasikumar, M.
    PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON CIRCUITS, POWER AND COMPUTING TECHNOLOGIES (ICCPCT 2013), 2013, : 861 - 865
  • [46] Optimum contrast enhancement using fuzzy sets
    Saito, Atsuhisa, 1600, (22):
  • [47] Image contrast enhancement using fuzzy technique
    Reshmalakshmi, C.
    Sasikumar, M.
    Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2013, 2013, : 861 - 865
  • [48] Thresholding using two-dimensional histogram and fuzzy entropy principle
    Cheng, HD
    Chen, YH
    Jiang, XH
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2000, 9 (04) : 732 - 735
  • [49] Enhancement of Image using Maximum Entropy Bi-Histogram Equalization
    Kansal, Shubhi
    Purwar, Shikha
    Tripathi, Rajiv
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON COMMUNICATION AND ELECTRONICS SYSTEMS (ICCES 2018), 2018, : 728 - 732
  • [50] Low contrast enhancement technique for color images using interval-valued intuitionistic fuzzy sets with contrast limited adaptive histogram equalization
    J. Reegan Jebadass
    P. Balasubramaniam
    Soft Computing, 2022, 26 : 4949 - 4960
12345