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Qunliang Xing

3 accepted papers

2025

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

ICCV 2025poster

Joint Photographic Experts Group (JPEG) achieves data compression by quantizing Discrete Cosine Transform (DCT) coefficients, which inevitably introduces compression artifacts. Most existing JPEG quality enhancement methods operate in the pixel domain, suffering from the high computational costs of…

Cited by 0SourcePDFScholar
2024

Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain

CVPR 2024poster

Existing quality enhancement methods for compressed images focus on aligning the enhancement domain with the raw domain to yield realistic images. However these methods exhibit a pervasive enhancement bias towards the compression domain inadvertently regarding it as more realistic than the raw domai…

Cited by 3SourcePDFScholar
2020

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

ECCV 2020poster

Lossy image compression is pervasively conducted to save communication bandwidth, resulting in undesirable compression artifacts. Recently, extensive approaches have been proposed to reduce image compression artifacts at the decoder side; however, they require a series of architecture-identical mode…