Paper Info
Title
Pattern masking estimation in image with structural uncertainty.
Abstract
A model of visual masking, which reveals the visibility of stimuli in the human visual system (HVS), is useful in perceptual based image/video processing. The existing visual masking function mainly considers luminance contrast, which always overestimates the visibility threshold of the edge region and underestimates that of the texture region. Recent research on visual perception indicates that the HVS is sensitive to orderly regions that possess regular structures and insensitive to disorderly regions that possess uncertain structures. Therefore, structural uncertainty is another determining factor on visual masking. In this paper, we introduce a novel pattern masking function based on both luminance contrast and structural uncertainty. Through mimicking the internal generative mechanism of the HVS, a prediction model is firstly employed to separate out the unpredictable uncertainty from an input image. In addition, an improved local binary pattern is introduced to compute the structural uncertainty. Finally, combining luminance contrast with structural uncertainty, the pattern masking function is deduced. Experimental result demonstrates that the proposed pattern masking function outperforms the existing visual masking function. Furthermore, we extend the pattern masking function to just noticeable difference (JND) estimation and introduce a novel pixel domain JND model. Subjective viewing test confirms that the proposed JND model is more consistent with the HVS than the existing JND models.
Year
DOI
Venue
2013
10.1109/TIP.2013.2279934
IEEE Transactions on Image Processing
Keywords
Field
DocType
video signal processing,human perception,perceptual based video processing,edge region,human visual system,binary pattern,local binary pattern,luminance contrast,visibility threshold,pixel domain jnd model,internal generative mechanism,structural uncertainty,just noticeable difference estimation,computer vision,visual perception,hvs,perceptual based image processing,visual masking function,image texture,subjective viewing test,pattern masking function,prediction model,texture region,pattern masking,pattern masking estimation,jnd estimation,just noticeable difference,video processing
Computer vision,Masking (art),Pattern recognition,Human visual system model,Image texture,Computer science,Local binary patterns,Artificial intelligence,Just-noticeable difference,Luminance,Visual perception,Visual masking
Journal
Volume
Issue
ISSN
22
12
1941-0042
Citations 
PageRank 
References 
17
0.69
18
Authors
5
Name
Order
Citations
PageRank
Jinjian Wu153342.70
Weisi Lin25366280.14
Guangming Shi32663184.81
Xiaotian Wang4476.75
Fu Li5518.07