3 papers
cs.CV2026
Low-light Image Enhancement with Retinex Decomposition in Latent Space
Bolun Zheng, Qingshan Lei, Quan Chen +4
Retinex theory provides a principled foundation for low-light image enhancement, inspiring numerous learning-based methods that integrate its principles. However, existing methods…
cs.CV2025
Temporal Inconsistency Guidance for Super-resolution Video Quality Assessment
Yixiao Li, Xiaoyuan Yang, Weide Liu +6
As super-resolution (SR) techniques introduce unique distortions that fundamentally differ from those caused by traditional degradation processes (e.g., compression), there is an i…
cs.CV2025
Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment
Yixiao Li, Xiaoyuan Yang, Guanghui Yue +6
Many super-resolution (SR) algorithms have been proposed to increase image resolution. However, full-reference (FR) image quality assessment (IQA) metrics for comparing and evaluat…