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Ee Ping Ong
Researcher at Agency for Science, Technology and Research
Publications - 86
Citations - 2271
Ee Ping Ong is an academic researcher from Agency for Science, Technology and Research. The author has contributed to research in topics: Video quality & Image quality. The author has an hindex of 24, co-authored 86 publications receiving 2160 citations. Previous affiliations of Ee Ping Ong include Institute for Infocomm Research Singapore.
Papers
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Journal ArticleDOI
Just noticeable distortion model and its applications in video coding
TL;DR: A new perceptually-adaptive video coding (PVC) scheme for hybrid video compression is explored, in order to achieve better perceptual coding quality and operational efficiency and to integrate spatial masking factors with the nonlinear additivity model for masking (NAMM).
Journal ArticleDOI
Modeling visual attention's modulatory aftereffects on visual sensitivity and quality evaluation
TL;DR: A new numerical measure for visual attention's modulatory aftereffects, perceptual quality significance map (PQSM), is proposed and demonstrates the performance improvement on two PQSM-modulated visual sensitivity models and two P QSM-based visual quality metrics.
Journal ArticleDOI
Motion-compensated residue preprocessing in video coding based on just-noticeable-distortion profile
TL;DR: A new JND estimator for color video is devised in image-domain with the nonlinear additivity model for masking and is incorporated into a motion-compensated residue signal preprocessor for variance reduction toward coding quality enhancement, and both perceptual quality and objective quality are enhanced in coded video at a given bit rate.
Proceedings ArticleDOI
A no-reference quality metric for measuring image blur
TL;DR: The proposed method for measuring the perceptual quality of blurred images can provide results that correlate relatively well with human subjective ratings, and the effectiveness of such method is validated using subjective tests on blurred images.
Journal ArticleDOI
Rate control for videophone using local perceptual cues
TL;DR: Both objective and subjective quality evaluations are given by evaluating the proposed perceptual rate control (PRC) scheme in the H.263 platform, and the evaluations show that the proposed PRC scheme achieves significant quality improvement in block-based coding for bandwidth-hungry applications.