no code implementations • IEEE Transactions on Image Processing 2011 • Lin Zhang, Lei Zhang, Xuanqin Mou, David Zhang
Image quality assessment (IQA) aims to use computational models to measure the image quality consistently with subjective evaluations.
Ranked #2 on Image Quality Assessment on MSU FR VQA Database
no code implementations • CVPR 2013 • Wufeng Xue, Lei Zhang, Xuanqin Mou
An interesting question is then: can we learn for effective BIQA without using human scored images?
no code implementations • 14 Aug 2013 • Wufeng Xue, Lei Zhang, Xuanqin Mou, Alan C. Bovik
We present a new effective and efficient IQA model, called gradient magnitude similarity deviation (GMSD).
Ranked #6 on Image Quality Assessment on MSU FR VQA Database
no code implementations • 10 Oct 2015 • Wufeng Xue, Xuanqin Mou, Lei Zhang
Among the various image quality assessment (IQA) tasks, blind IQA (BIQA) is particularly challenging due to the absence of knowledge about the reference image and distortion type.
9 code implementations • 3 Aug 2017 • Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu, Yongyi Shi, Xuanqin Mou, Mannudeep K. Kalra, Ge Wang
In this paper, we introduce a new CT image denoising method based on the generative adversarial network (GAN) with Wasserstein distance and perceptual similarity.
1 code implementation • 24 May 2019 • Yang Li, Xuanqin Mou
Similar to IQA models, the structural dissimilarity is computed based on the correlation of the structural features.
no code implementations • 28 Apr 2020 • Yang Li, Xuanqin Mou
This problem is due to the lack of an accurate R-$D_\text{SSIM}$ model that can be used uniformly in both OBA and RDO.
no code implementations • 21 Dec 2020 • Congmin Chen, Xuanqin Mou
In this paper, we propose an FR-IQA model with the quadratic sum of the GM and the LOG signals, which obtains good performance in image quality estimation considering shift-insensitive property for not well-registered reference and distortion image pairs.
1 code implementation • 1 Apr 2021 • Yang Li, Xuanqin Mou
However, the MSE-based rate distortion optimization (RDO) was still used in these studies.
no code implementations • 4 Mar 2022 • Xi Chen, Jiahuan Lv, Dehua Feng, Xuanqin Mou, Ling Bai, Shu Zhang, Zhiguo Zhou
Accurately identifying patient's status through medical images plays an important role in diagnosis and treatment.
no code implementations • 4 Oct 2023 • Yongyi Shi, Wenjun Xia, Ge Wang, Xuanqin Mou
Subsequently, the distorted image and dissimilarity map are combined into a multi-channel image, which is inputted into a transformer-based image quality evaluator.