Fluorescence Microscopic Image Denoising Based on Fourth-Order PDEs and Contrast Enhancement

A new denoising diffusion model is proposed for fluorescence microscopic images, in which fourth-order partial differential equations (PDEs) and contrast enhancement are utilized to overcome the blocky effect and false edges usually caused by second-order PDEs. Compared with second-order PDEs model, the proposed model shows superior performance in terms of both objective criteria and subjective human vision via processing simulated and experimental noisy images.