an example based super resolution algorithm

资 源 简 介

an example based super resolution algorithm

详 情 说 明

One example of a super resolution algorithm is the bicubic interpolation method. This algorithm takes a low-resolution image and increases its resolution by interpolating the neighboring pixels. Another example is the deep learning-based method, which uses neural networks to learn the mapping between low and high-resolution images. This method requires a large amount of training data, but it can produce high-quality results. In addition, there are other types of super resolution algorithms, such as the iterative back-projection method and the sparse coding-based method, each with their own strengths and weaknesses.