This paper outlines a strategic approach for improving underwater images. Due to the absorption and scattering of light on the objects, the image gets degraded. The fusion principles enhance this degraded version of the image by deriving inputs and weight measurements from it. Our strategy is very simple to apply image dehazing algorithms for color correction to the original image. We introduce a new haar wavelet transform, called Tetrolet Transform, to get an efficient image representation. Tetrolets are wavelets of the haar type whose supports are tetrominoes made by connecting four squares of the same size. The appropriate filter bank algorithm is simple but highly effective. Numerical results show the tetrolet transform's strong efficiency in image fusion. This strategy gives the dark regions a better exposure, improves contrast, and the edges are significantly preserved and enhanced. This algorithm effectively enhances the underwater image that our image experimental results clearly demonstrate.
Volume 12 | 01-Special Issue
Pages: 795-804
DOI: 10.5373/JARDCS/V12SP1/20201131