Most often, the acquisition devices used for imaging biological specimens are prone to measurement fluctuations leading to noisy images. It is imperative to denoise the image before it is sent for further processing/analysis. The goal of this project is to implement an ImageJ plugin that performs a fast denoising using a blind Wiener filter. The method is blind in the sense that the it tries to estimate the autocorrelation function of the biological image. For this purpose, the student has to use a predefined parametric model for the autocorrelation function, for implementing the Wiener method. Reconstruction is done by performing a separable-sinc-interpolation after denoising.