DocumentCode :
185091
Title :
Adaptive texture synthesis based on perceived texture regularity
Author :
Varadarajan, Srenivas ; Karam, Lina J.
Author_Institution :
Sch. of Electr., Comput. & Energy Eng., Arizona State Univ., Tempe, AZ, USA
fYear :
2014
fDate :
18-20 Sept. 2014
Firstpage :
76
Lastpage :
80
Abstract :
This paper presents the influence of perceived texture regularity on the visual quality of textures that are synthesized through parametric and non-parametric approaches. It is shown through subjective testing that textures with different degrees of perceived regularity exhibit different degrees of vulnerability to texture synthesis artifacts. The paper also proposes a method for adaptively selecting the appropriate texture synthesis algorithm based on an objective no-reference texture regularity metric. It is shown through subjective testing that the proposed adaptive texture synthesis performs better than the individual methods.
Keywords :
image texture; nonparametric statistics; visual perception; adaptive texture synthesis; nonparametric approaches; objective no-reference texture regularity metric; perceived texture regularity; texture synthesis algorithm; texture visual quality; Conferences; Databases; Image segmentation; Measurement; Multimedia communication; Testing; Visualization; Randomness; Texture Analysis; Texture Regularity; Texture Synthesis; Visual Quality Assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Quality of Multimedia Experience (QoMEX), 2014 Sixth International Workshop on
Conference_Location :
Singapore
Type :
conf
DOI :
10.1109/QoMEX.2014.6982299
Filename :
6982299
Link To Document :
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