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双筒对抗和融合灵感的等级互补组合用于无参考立体图像质量评估
Yiling Tang1, Shunliang Jiang1, Shaoping Xu1
1School of Mathematics and Computer Sciences, Nanchang University, Nanchang 330031, China.
Sensors (Basel, Switzerland)
|February 13, 2026
概括
本研究引入了一个新的框架,用于评估没有引用的立体图像质量. 多阶段互补组合 (MSCE) 框架提高了预测准确性,特别是在复杂扭曲的情况下.
科学领域:
- 计算机视觉 计算机视觉
- 图像处理 图像处理
- 人类视觉系统建模
背景情况:
- 无参考立体图像质量评估 (NR-SIQA) 由于双眼竞争和融合复杂性而具有挑战性.
- 立体图像中的不对称扭曲进一步使质量评估复杂化.
研究的目的:
- 为NR-SIQA提出一个新的框架,多阶段互补组合 (MSCE).
- 增强双眼特征融合的动态调节,提高预测的一致性.
主要方法:
- 在层次化变压器架构中开发了一个自适应选择性传播 (ASP) 策略.
- 模拟人类视觉系统从竞争到融合的转变,使用非线性增益控制.
- 集成的低级,中级和高级功能使用层次互补融合 (HCF) 模块.
主要成果:
- 在四个基准数据集上,MSCE框架实现了最先进的性能.
- 在复杂的不对称扭曲下显示出优异的预测一致性.
- 验证了ASP策略和HCF模块在处理双眼差异方面的有效性.
结论:
- 该MSCE框架为NR-SIQA提供了显著的进步,特别是在挑战不对称扭曲方面.
- 提出的方法有效地模拟人类的视觉感知,以更准确地评估图像质量.
- 在现实应用中,MSCE为评估立体图像质量提供了强大的解决方案.
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