scispace - formally typeset
O

Oscar C. Au

Researcher at Hong Kong University of Science and Technology

Publications -  493
Citations -  7851

Oscar C. Au is an academic researcher from Hong Kong University of Science and Technology. The author has contributed to research in topics: Motion estimation & Motion compensation. The author has an hindex of 40, co-authored 491 publications receiving 7493 citations. Previous affiliations of Oscar C. Au include Wilmington University & Huawei.

Papers
More filters
Journal ArticleDOI

Multiresolution Graph Fourier Transform for Compression of Piecewise Smooth Images

TL;DR: Experimental results show that the proposed multiresolution-GFT scheme outperforms H.264 intra by 6.8 dB on average in peak signal-to-noise ratio at the same bit rate.
Journal ArticleDOI

Highly efficient predictive zonal algorithms for fast block-matching motion estimation

TL;DR: Two techniques are proposed, the generalized motion vector predictor and the adaptive threshold calculation, that can be used to significantly improve the performance of many existing fast ME algorithms and create two new algorithms, named advanced predictive diamond zonal search and predictive MV field adaptive search technique.
Journal ArticleDOI

Data hiding watermarking for halftone images

TL;DR: The modified data hiding error diffusion (MDHED) is proposed that integrates the data hiding operation into the error diffusion process and can give better visual quality than DHSPT.
Journal ArticleDOI

Designing an Efficient Image Encryption-Then-Compression System via Prediction Error Clustering and Random Permutation

TL;DR: A highly efficient image encryption-then-compression (ETC) system, where both lossless and lossy compression are considered, and the proposed image encryption scheme operated in the prediction error domain is shown to be able to provide a reasonably high level of security.
Journal ArticleDOI

Novel blind multiple watermarking technique for images

TL;DR: Experimental results show that embedded watermarks using the proposed techniques can give good image quality and are robust in varying degree to JPEG compression, low-pass filtering, noise contamination, and print-and-scan.