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WaveCD: Physics-guided wavelet cold diffusion for low-light image denoising
DOI:10.1016/j.sigpro.2026.110730.png)
摘要
En
期刊
IF:
3.6
论文数:
9.9K
被引数:
1.7W
机构
引用论文
RMANet: Refined-mixed attention network for progressive low-light image enhancementRMANet: 用于渐进式低光图像增强的精细混合注意力网络
SIGNAL PROCESSING
IF3.6
Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss使用具有Wasserstein距离和感知损失的生成对抗网络对低剂量CT图像进行去噪
LLDiffusion: Learning degradation representations in diffusion models for low-light image enhancementLLDiffusion: 在扩散模型中学习退化表示以增强低光图像
PATTERN RECOGNITION
IF7.6
LatentDark: Reflectance guided latent diffusion model for low-light image enhancementLatentDark:基于反射率引导的潜在扩散模型用于低光图像增强
Signal Processing
IF3.6
LE-GAN: Unsupervised low-light image enhancement network using attention module and identity invariant lossLe-gan: 使用注意力模块和身份不变损失的无监督低光图像增强网络

