Author : Priyanka Holambe and Dr. Gayatri Bhandari

When an 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 waveletbased 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 primarily flatten Euler Frobenius halfband polynomial (EFHP).It is achieved through imposing vanishing moments (VMs) and perfect reconstruction (PR) constraints on EFP. This leads to EFHP, that is used in four steps lifting model to analyse high and low pass filters. It is assured that filters proposed have linear phase and PR property. Thus,it has been ensured that openly available unclear undersea images are analysed and enhanced qualitatively using state of art techniques.This quantitative research of image quality exhibits favourable outcomes.

Keywords: Euler Frobenius polynomial etc