4 citations · 8 across the 8 of their papers we have counts for
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cs.CV2014
High Frequency Content based Stimulus for Perceptual Sharpness Assessment in Natural Images
Ashirbani Saha, Q. M. Jonathan Wu
A blind approach to evaluate the perceptual sharpness present in a natural image is proposed. Though the literature demonstrates a set of variegated visual cues to detect or evalua…
cs.CV2014★ 2 cited
Full-reference image quality assessment by combining global and local distortion measures
Ashirbani Saha, Q. M. Jonathan Wu
Full-reference image quality assessment (FR-IQA) techniques compare a reference and a distorted/test image and predict the perceptual quality of the test image in terms of a scalar…
cs.NE2014
Pulling back error to the hidden-node parameter technology: Single-hidden-layer feedforward network without output weight
Yimin Yang, Q. M. Jonathan Wu, Guangbin Huang +1
According to conventional neural network theories, the feature of single-hidden-layer feedforward neural networks(SLFNs) resorts to parameters of the weighted connections and hidde…