Preprint Open access
Hybrid++: The Bridge between PDE Models and Deep Learning for Gamma Noise Removal
Multiplicative gamma noise is one of the dominant noise factors in Synthetic Aperture Radar (SAR) and medical ultrasound images. They are dependent on pixel level noises due to which they are highly varying across the image and harder to handle as compared to additive noise. The denoising methods to address this noise …