Title :
Image Quality Evaluation Based on No-reference Method with Visual Component Detection
Author :
Zhu, Li ; Wang, Guoyou
Author_Institution :
Huazhong Univ. of Sci. & Technol., Wuhan
Abstract :
In this paper, we present a new image quality assessment that does not rely on reference images. Our model is to estimate human quality assessment by detecting visual components, then assessing quality by empirical model. We describe an instance of this model with visual component detection, and quality modeling is estimated using radial basis function (RBF) networks. Experiments with this prototype system show better results for human visual system(HVS).
Keywords :
image resolution; radial basis function networks; human quality assessment; human visual system; image quality assessment; image quality evaluation; radial basis function networks; reference images; visual component detection; Artificial intelligence; Biomedical image processing; Biometrics; Face detection; Humans; Image quality; Image recognition; Object detection; Quality assessment; Visual perception; image quality; no-reference method; visual component detection;
Conference_Titel :
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2875-5
DOI :
10.1109/ICNC.2007.428
