Using a Fusion Algorithm for Underwater Image Enhancement, Colour Balancing, Contrast Optimisation, and Histogram Stretching

Abstract: For the improvement and restoration of underwater photos, a fusion algorithm is suggested. Histogram stretching, contrast enhancement, and colour balancing are all done. reducing the impact of colour shift, the scalar values of the R, G, and B channels are updated to ensure that the distributions of the three channels in the histogram are consistent. An optimized contrast algorithm is used to establish the best transmittance rather than refining it as is done in dark channel prior based restoration. A histogram stretching approach based on the red channel is presented to further enhance the brightness and contrast of underwater photos. Experimental underwater photos are processed to assess the efficiency of the suggested fusion technique. Research indicates that underwater image quality has greatly improved in terms of both subjective and objective evaluation. The proposed method for processing underwater images is contrasted with a few such methods. Results of comparing show that the chosen approach has an edge over others.