Abstract—In this paper, we first propose a novel no-reference. (NR) image quality assessment (IQA) method for retargeted image based on the rank learning ...
In this paper, we propose a BLind Quality Evaluator for stereoscopic 3D images by learning Local and Global Sparse Representations (BLQELGSR). Specifically, at ...
Abstract—In this paper, we propose a novel no-reference image quality assessment method for the retargeted image based on the pairwise rank learning ...
In this paper, we propose a novel no-reference image quality assessment method for the retargeted image based on the pairwise rank learning approach.
Oct 1, 2015 · In this paper, we first propose a novel no-reference (NR) image quality assessment (IQA) method for retargeted image based on the rank ...
In this paper, we propose a novel no-reference image quality assessment method for the retargeted image based on the pairwise rank learning approach.
Our approach is based on the observation that, given a set of arbitrary reference images, it is very easy to apply image distortions to generate a ranking image.
Missing: Retargeted | Show results with:Retargeted
Rank Learning Based No-Reference Quality Assessment of Retargeted Images. 2015 IEEE International Conference on Systems, Man, and Cybernetics. In this paper ...
Apr 9, 2017 · Content-aware image resizing (or image retargeting) enables images to be fit to different display devices having.
No-Reference Image Quality Assessment with Reinforcement ...
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This paper forms the NR-IQA as a recursive list-wise ranking problem which aims to optimize the whole quality ordering directly and improves the ...