Granular Computing for Super-Resolution Reconstruction of Aerial Images in Campus

Granular Computing (GrC) is proposed for super-resolution reconstruction of aerial images in campus.(1) The granulation method of image is proposed to transform the image space into granularity space.(2) The join operation and the meet operation between two granules are designed for the fuzzy inclusion measure μ and σ between two granules,which are used to realize the transformation between two granularity spaces with different granularities,to obtain the prior knowledge to guide the design of super-resolution reconstruction algorithms.(3) According to up-down and bottom-up computing models,the granular computing algorithms of image super-resolution reconstruction are designed to realize the transformation from granularity space to image space in terms of the prior knowledge.The proposed algorithms are verified by the experiments.