Deconvolution is a image processing technique that is being increasingly utilized for improving the contrast and resolution of digital images captured in the microscope. The goal of this project is to build a Java library implementing a collection of deconvolution algorithms, including classical and well-known methods such as Richardon-Lucy and Wiener deblurring, as well as more recent and powerful deconvolution methods. This library will then be incorporated in the ICY platform which is a popular tool extensively used by biologists.
The student is expected to have good programming skills in Java and motivation to learn about deconvolution techniques.