Zhou Wang

TL;DR: In this paper, insights on why image quality assessment is so difficult are provided by pointing out the weaknesses of the error sensitivity based framework and a new philosophy in designing image quality metrics is proposed.

TL;DR: A new measure of image similarity called the complex wavelet structural similarity (CW-SSIM) index is introduced and its applicability as a general purpose image similarity index is shown and it is demonstrated that it is computationally less expensive and robust to small rotations and translations.

TL;DR: This paper proposes a novel objective image quality assessment (IQA) algorithm for MEF images based on the principle of the structural similarity approach and a novel measure of patch structural consistency and shows that the proposed model well correlates with subjective judgments and significantly outperforms the existing IQA models for general image fusion.

TL;DR: An objective quality assessment algorithm for tone-mapped images is proposed by combining: 1) a multiscale signal fidelity measure on the basis of a modified structural similarity index and 2) a naturalness measure onThe basis of intensity statistics of natural images.

TL;DR: This work establishes a large-scale database named the Waterloo Exploration Database, which in its current state contains 4744 pristine natural images and 94 880 distorted images created from them, and presents three alternative test criteria to evaluate the performance of IQA models, namely, the pristine/distorted image discriminability test, the listwise ranking consistency test, and the pairwise preference consistency test.