Z
Zhou Wang
Researcher at University of Waterloo
Publications - 330
Citations - 36708
Zhou Wang is an academic researcher from University of Waterloo. The author has contributed to research in topics: Image quality & Image processing. The author has an hindex of 63, co-authored 256 publications receiving 30562 citations. Previous affiliations of Zhou Wang include South China University of Technology & City University of Hong Kong.
Papers
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Proceedings ArticleDOI
Reduced-reference image quality assessment using a wavelet-domain natural image statistic model
Zhou Wang,Eero P. Simoncelli +1 more
TL;DR: This paper proposes an RR image quality assessment method based on a natural image statistic model in the wavelet transform domain that uses the Kullback-Leibler distance between the marginal probability distributions of wavelet coefficients of the reference and distorted images as a measure of image distortion.
Proceedings ArticleDOI
Blind measurement of blocking artifacts in images
TL;DR: A new approach that can blindly measure blocking artifacts in images without reference to the originals is proposed, which has the flexibility to integrate human visual system features such as the luminance and the texture masking effects.
Journal ArticleDOI
End-to-End Blind Image Quality Assessment Using Deep Neural Networks
TL;DR: This work demonstrates the strong competitiveness of MEON against state-of-the-art BIQA models using the group maximum differentiation competition methodology and empirically demonstrates that GDN is effective at reducing model parameters/layers while achieving similar quality prediction performance.
Journal ArticleDOI
Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network
TL;DR: A deep bilinear model for blind image quality assessment that works for both synthetically and authentically distorted images and achieves state-of-the-art performance on both synthetic and authentic IQA databases is proposed.
Journal ArticleDOI
On the Mathematical Properties of the Structural Similarity Index
TL;DR: A series of normalized and generalized metrics based on the important ingredients of SSIM are constructed and it is shown that such modified measures are valid distance metrics and have many useful properties, among which the most significant ones include quasi-convexity, a region of convexity around the minimizer, and distance preservation under orthogonal or unitary transformations.