Aerial Video Sequence Resolution Enhancement Technology

The research work focuses on the resolution enhancement by the video sequences in the air, which is a technique of estimating a high-resolution from video sequences to enhance the resolution of image. This technique reconstructs the image by algorithm of high-resolution. It raises the resolution as while as the efficiency, so that it has become one of the most available methods to enhance resolution of image.The thesis summarized the academic and experimental research on the super-resolution reconstruction by the air video sequence, and the detailed research works can be described as following:At the very beginning, we introduced the main gloss correlate to the problem. And then we took the pictures of the resolution testing board and other practicalities to make the reader have a macroscopical view about the problem.The precondition of the image restoration and the super-resolution is building a correct model of degradations. The thesis introduced the process of building degradation model. Since super-resolution reconstruction is the process of up-sampling the low-resolution images, we introduced some basic interpolation algorithm for digital images.The thesis introduced the process of building degradation model. Since super-resolution reconstruction is the process of up-sampling the low-resolution images, we introduced some basic interpolation algorithm for digital images. Besides that, to evaluate the quality of processed image, we introduced some evaluation functions to evaluate image quality.In this right condition, the motion blurred images hold a large proportion in the video sequences, so one of our main tasks is to restore these motion blurred images. The thesis research and implement the main restoration algorithms, including frequency domain and special domain processing and obtain approving results. Besides that, we introduced the popular algorithm for motion estimation.The thesis researched and implemented the projection onto convex sets super-resolution reconstruction algorithm and the iterative back projection super-resolution reconstruction algorithm to enhance the resolution of the image. We analysis the advantages and the disadvantages of the two algorithms .And then we got the conclusion, for it's noise resistibility and priori information capability, POCS algorithm is fit for the right problem which the thesis researched. In the end of the thesis, we prospected the future of the technology and analyzed the necessary development in this field.