A secondary image denoising model based on the local energy operator

A secondary image denoising model based on the local energy operator is proposed. Since details and textures always will be compromised in the process of denoising, a local energy operator and a noise-texture operator are proposed. Combined with Weickert's coherence-enhancing model, the textures and details filtered by mistake during the process of denoising can be extracted as much as possible. After refilling the detail information into the denoised image, the final denoised image can be obtained. Experiment results show that our new method can be a follow-up process of any other denoising methods, and the results will be obviously improved after the secondary denoising process.