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Zhengfang Duanmu

3 accepted papers

2018

Geometric Transformation Invariant Image Quality Assessment Using Convolutional Neural Networks

ICASSP 2018accepted

Most existing full-reference (FR) image quality assessment (IQA) models assume that the reference and distorted images are perfectly aligned, and fail dramatically when the assumption does not hold. In this study, we first show that pre-registration, especially feature-based (as opposed to area-base…

Cited by 0SourceScholar
2016

Group MAD Competition - A New Methodology to Compare Objective Image Quality Models

CVPR 2016spotlight

Objective image quality assessment (IQA) models aim to automatically predict human visual perception of image quality and are of fundamental importance in the field of image processing and computer vision. With an increasing number of IQA models proposed, how to fairly compare their performance beco…

Cited by 120PDFScholar