Paper
DNGAN for speckle noise reduction in optical coherence tomography images.pdf
Summary
論文簡介/
Contribution:
- The adversarial training is used to automatically extract features of LN OCT (視網膜光學斷層掃描) images.
- The frequency loss is first added to the loss function to suppress the noise in the HN region and preserve the structural.
- A new denoising framework, DN-GAN.
- Speckle noise (Multiplicative noise)
- Image pixel value + random value = AWGN
- Image pixel value * random value = Speckle noise
- Cause by the receiver from the radar, CT, ultrasound, the different reflection from the rough surface or different tissue.
簡介.docx