Research on underwater image processing method based on feature transformation unit

The images have their own defects such as high noise and poor texture, a multi-input fusion technique has been developed for enhancing underwater images, addressing issues of degradation and significant interference. By analyzing and comparing the performance of white balance, histogram equalization, gamma correction and underwater dark channel prior methods, a new image enhancement algorithm has been developed through the integration of the best features from various algorithms. The proposed algorithm is evaluated against traditional methods for enhancing underwater images, and the image is analyzed by image effect and image quality evaluation index. The outcomes demonstrate that the suggested algorithm significantly enhances the quality of underwater images.