Paper Info
Title
Fuzzy enhancement algorithm of multilevel image contrast in multi-media network.
Abstract
Due to the poor image quality and complex enhancement process in the current image contrast fuzzy enhancement algorithm, a multilevel image contrast fuzzy enhancement algorithm in multimedia network based on homogeneity measurement was put forward. This algorithm used the minimum fuzzy entropy to detect noise in multilevel image and remove noise through improved Shannon entropy, so as to achieve restoration of multilevel image. According to the membership degree of restored image, the local feature of image was determined to realize and the homogeneity expression of image. Then, the nonlinear transformation was introduced to optimize the image homogeneity. Thus, the multilevel image contrast fuzzy enhancement in multimedia network was realized. Experimental results show that the proposed algorithm can effectively guarantee the image quality after the contrast enhancement and reduce the computational complexity.
Year
DOI
Venue
2018
10.3233/JIFS-169755
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
Field
DocType
Multimedia network,multilevel image,contrast,fuzzy enhancement,algorithm
Fuzzy logic,Artificial intelligence,Machine learning,Mathematics
Journal
Volume
Issue
ISSN
35
4
1064-1246
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
Bo Wang100.68
Jing Xu200.68
B. H. Sidoravicius300.34