When a image is captured under water, it becomes hazy because of many undersea medium effects. The effects are
influenced from suspended sediments which lead to light absorption and dispersion while image formation activity. Under water
environment is not suitable for processing image data. It leads to reduced contrast and colour disappear issues. Hence, in
image based exploration process, it becomes necessary to improve imaging data for future processing. Here, we present a
wavelet- based fusion technique for underwater image improvement. Wavelet filters are designed as Euler Frobenius
polynomial (EFP). In the method, we use Euler Frobenius polynomial (EFP) to pri- marily flatten Euler Frobenius halfband
polynomial (EFHP).
