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20192026
most citedMFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video

268 citations · 516 across the 13 of their papers we have counts for

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7 papers · 1 filter

eess.IV2025

Uncover Treasures in DCT: Advancing JPEG Quality Enhancement by Exploiting Latent Correlations

Jing Yang, Qunliang Xing, Mai Xu +1

Joint Photographic Experts Group (JPEG) achieves data compression by quantizing Discrete Cosine Transform (DCT) coefficients, which inevitably introduces compression artifacts. Mos…

eess.IV2025

Breaking the Multi-Enhancement Bottleneck: Domain-Consistent Quality Enhancement for Compressed Images

Qunliang Xing, Mai Xu, Jing Yang +1

Quality enhancement methods have been widely integrated into visual communication pipelines to mitigate artifacts in compressed images. Ideally, these quality enhancement methods s…

eess.IV2024

MarsSQE: Stereo Quality Enhancement for Martian Images Using Bi-level Cross-view Attention

Mai Xu, Yinglin Zhu, Qunliang Xing +2

Stereo images captured by Mars rovers are transmitted after lossy compression due to the limited bandwidth between Mars and Earth. Unfortunately, this process results in undesirabl…

eess.IV2024

MarsQE: Semantic-Informed Quality Enhancement for Compressed Martian Image

Chengfeng Liu, Mai Xu, Qunliang Xing +1

Lossy image compression is essential for Mars exploration missions, due to the limited bandwidth between Earth and Mars. However, the compression may introduce visual artifacts tha…

eess.IV2022

DAQE: Enhancing the Quality of Compressed Images by Exploiting the Inherent Characteristic of Defocus

Qunliang Xing, Mai Xu, Xin Deng +1

Image defocus is inherent in the physics of image formation caused by the optical aberration of lenses, providing plentiful information on image quality. Unfortunately, existing qu…

eess.IV2020★ 50 cited

Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images

Qunliang Xing, Mai Xu, Tianyi Li +1

Lossy image compression is pervasively conducted to save communication bandwidth, resulting in undesirable compression artifacts. Recently, extensive approaches have been proposed…

eess.IV2020★ 198 cited

DeepQTMT: A Deep Learning Approach for Fast QTMT-based CU Partition of Intra-mode VVC

Tianyi Li, Mai Xu, Runzhi Tang +2

Versatile Video Coding (VVC), as the latest standard, significantly improves the coding efficiency over its ancestor standard High Efficiency Video Coding (HEVC), but at the expens…