Title
BiTA/SWCE: Image Enhancement With Bilateral Tone Adjustment and Saliency Weighted Contrast Enhancement
Abstract
Researchers have proposed various image enhancement methods to make images better correlate to the human visual system. This letter proposed an innovative image enhancement framework that combines bilateral tone adjustment (BiTA) and saliency-weighted contrast enhancement (SWCE) methods. Unlike most curve-based global contrast enhancement methods, BiTA enhances the mid-tone regions that normally contain important scenes, in addition to the bright and dark regions. For local contrast enhancement, SWCE integrates the concept of image saliency into a simple filter-based contrast enhancement method. Regions with higher saliency values, which indicate that the regions have a higher extent of human interest, deserve a greater degree of enhancement. In addition, this letter presents the ratio of saliency-weighted relative entropy to noise to evaluate the enhancement quality. Simulation results show that the proposed schemes achieve high contrast enhancement with little noise and great image quality.
Year
DOI
Venue
2011
10.1109/TCSVT.2010.2087475
IEEE Trans. Circuits Syst. Video Techn.
Keywords
Field
DocType
innovative image enhancement framework,great image quality,simple filter-based contrast enhancement,enhancement quality,high contrast enhancement,saliency weighted contrast enhancement,various image enhancement method,saliency-weighted contrast enhancement,image saliency,image enhancement,bilateral tone adjustment,curve-based global contrast enhancement,local contrast enhancement,human visual system,indexing terms,relative entropy,image quality,entropy,noise,pixel,histograms
Computer vision,Histogram,Pattern recognition,Human visual system model,Computer science,Salience (neuroscience),Image quality,Artificial intelligence,Pixel,Kullback–Leibler divergence
Journal
Volume
Issue
ISSN
21
3
1051-8215
Citations 
PageRank 
References 
8
0.55
10
Authors
3
Name
Order
Citations
PageRank
Wei-Ming Ke1343.41
Chih-Rung Chen2191.89
Ching-Te Chiu330438.60