Improving Texture Acutance of Digital Cameras through Hybrid Training of Denoising Networks

Hybrid training of image denoising neural networks on natural and synthetic dead leaves images can significantly improve the texture acutance metric, a standard measure of a camera's ability to preserve texture information, without impairing classic image quality metrics.