In image denoising networks, feature scaling is widely used to enlarge the receptive field size and reduce computational costs. This practice, however, also leads loss of high-frequency information fails consider within-scale characteristics. Recently, dynamic convolution has exhibited powerful capabilities in processing (e.g., edges, corners, textures), but previous works lack sufficient spati...