Noise Reduction and Recovery Algorithm for Underwater Distorted Image

作者：Han, Pu^*; Han, Yibo

来源：Journal of Coastal Research, 2018, 83(sp1): 720-723.

DOI：10.2112/SI83-119.1

• Underwater
• distortion
• image
• noise reduction processing
• recovery algorithm
• noise reduction recovery

Due to some unavoidable internal factors of digital cameras and other imaging equipment, as well as human and environmental external factors, the underwater photographing images will be distorted, thus affecting the recognition effect of optical character recognition. The traditional noise reduction algorithm has low efficiency and short time-consuming. Therefore, in this paper, a document image distortion recognition algorithm based on full automatic image splicing is proposed. Firstly, two distorted images captured from different angles for the same document page are processed by feature extraction, image registration, transformation and so on, and then spliced into a nearly non-deformation document image. The experimental results show that the algorithm proposed in this paper can effectively deal with the problem of document image distortion recognition, and has a very high development prospect.

• 出版日期2018
• 单位南阳理工学院