Published Paper Details:

Image enhancement is a common method of improving the look and feel of a photograph. This idea for underwater picture enhancement was inspired by the shape and function of a teleost fish retina. The blurring and non-uniform colour biases in underwater photos are causing problems. Using red channel compensation and feedback from color-sensitive horizontal cells helps to correct the eye's unbalanced perception of colours. To improve the output image's edges and contrasts, the bipolar cell has a center-surround opponent mechanism and feedback from amacrine cells to inter-plexiform cells. It is possible to use the color-opponent ganglion cells to enhance and correct colour. Finally, we're using a fusion technique based on brightness to reconstruct the improved image from fish retina outputs that are both on and off. To construct each low-level filter automatically, our approach employs global data (such as picture contrast), which allows the major parameters to self-adapt. Extensive qualitative and quantitative examinations of our technology in diverse underwater settings demonstrate its competitive performance. Our technique also improves the transmission map estimate and local feature point matching accuracy when using an underwater image. Our methodology is based on a single image and does not require any prior knowledge of the undersea scene's condition or structure. For greater colour contrast and colour correction, used technique is Laplacian multiscale fusion reconstruction method. Results and parameter computations will reveal the disparity between the proposed work and actual performance data.