Nonuniform Sampling and Reconstruction for High Resolution Satellite Images
The objective of nonuniform sampling methods in image processing is to represent an image with a low number of samples while preserving its content. This paper proposes an adaptive nonuniform sampling algorithm for high-resolution satellite images. The idea is that more samples are selected around the edges thanks to the measure of the local skewness, and that few samples are placed in regions containing lowfrequency features. The Delaunay triangulation method has been developed to reconstruct the image from nonuniform samples. The results of the reconstruction show that the proposed algorithm can obtain a similar image quality with fewer samples, which is valuable for high-resolution satellite image transmission and storage system.
nonuniform sampling 2D reconstruction Four-Nearest-Neighbors Delaunay triangulation satellite image processing
Xiaoming Shen Guoqi Zeng Zhimian Wei
School of Electronics and Information Engineering, Research Institute of Unmanned Aerial Vehicle Beijing University of Aeronautics and Astronautics, Beijing, China.
国际会议
武汉
英文
187-191
2011-10-21（万方平台首次上网日期，不代表论文的发表时间）