Multi-exposure fusion (MEF) is a technique that combines different snapshots of the same scene, captured with different exposure times, into a single image.This combination process (also known as fusion) is performed in such a way that the parts with better exposure of each input Pour Test Kits image have a stronger influence.Therefore, in the result image all areas are well exposed.In this paper, we propose a new method that performs MEF and noise removal.Rather than denoising each input image individually and then fusing the obtained results, the proposed strategy jointly performs fusion and denoising Football - Gloves - Junior in the Discrete Cosinus Transform (DCT) domain, which leads to a very efficient algorithm.
The method takes advantage of spatio-temporal patch selection and collaborative 3D thresholding.Several experiments show that the obtained results are significantly superior to the existing state of the art.