A Novel Underwater Image Enhancement Using Optimal Composite Backbone Network.

ABSTRACT: Continuous exploration of the ocean has made underwater image processing an important research field, and plenty of CNN (convolutional neural network)-based underwater image enhancement methods have emerged over time. However, the feature-learning ability of existing CNN-based underwater image enhancement is limited. The networks were designed to be complicated or embed other algorithms for better results, which cannot simultaneously meet the requirements of suitable underwater image enhancement effects and real-time performance. Although the composite backbone network (CBNet) was introduced in underwater image enhancement, we proposed OECBNet (optimal underwater image-enhancing composite backbone network) to obtain a better enhancement effect and shorten the running time. Herein, a compre

SUBMITTER: Chen Y 

PROVIDER: S-EPMC10376945 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature