Principle and prospect of image data enhancement technology
Image data enhancement plays an important role in computer vision and machine learning.The traditional image data enhancement techniques include geometric change,pixel level image change,image filtering and so on,but the effect of these methods is limited.Therefore,image data enhancement technolo-gy based on deep learning emerges.The development of adaptive enhancement,GAN,weak supervision and other technologies has gradually become important means to improve the data set,realize the increase of data and the improvement of quality,and solve the overfitting and underfitting problems of deep learning model.The traditional image data enhancement technology and deep learning-based image data enhance-ment technology are reviewed,and their advantages and disadvantages and future development direction are discussed.
image data enhancementtraditional image processing technologydeep learningadaptive en-hancementgenerate adversarial networks
NETL
NSTL
万方数据
