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173
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HVEI
2010
14 years 11 months ago
No-reference image quality assessment based on localized gradient statistics: application to JPEG and JPEG2000
This paper presents a novel system that employs an adaptive neural network for the no-reference assessment of perceived quality of JPEG/JPEG2000 coded images. The adaptive neural ...
Hantao Liu, Judith Redi, Hani Alers, Rodolfo Zunin...
84
Voted
ICIP
2010
IEEE
14 years 11 months ago
Spatial bayesian surprise for image saliency and quality assessment
We propose an alternative interpretation of Bayesian surprise in the spatial domain, to account for saliency arising from contrast in image context. Our saliency formulation is in...
Ioannis Gkioulekas, Georgios Evangelopoulos, Petro...
ISBI
2004
IEEE
16 years 2 months ago
Cardiac MR Image Segmentation: Quality Assessment of STACS
We present an energy based automatic image segmentation algorithm that uses a novel active contour scheme, called the stochastic active contour scheme (STACS). The algorithm overc...
Charnchai Pluempitiwiriyawej, Chien Ho, José...
108
Voted
TIP
2011
150views more  TIP 2011»
14 years 8 months ago
Quality Assessment of Deblocked Images
—We study the efficiency of deblocking algorithms for improving visual signals degraded by blocking artifacts from compression. Rather than using only the perceptually questiona...
Changhoon Yim, Alan Conrad Bovik
174
Voted
ICPR
2004
IEEE
16 years 2 months ago
Developing Assistant Tools for Geometric Camera Calibration: Assessing the Quality of Input Images
This paper proposes two indicators for predicting the quality of camera model parameters from a set of input images. The first indicator is based on the acutance. It can quickly i...
Jean-Nicolas Ouellet, Patrick Hébert