Pixel Domain Based Image Super-Resolution Reconstruction Fast Algorithms

In practical application,high resolution images usually provide more important clues for computer vision and image analysis applications. Therefore, the research for improving image resolution is particularly important. But with some interference of objective factors, image resolution obtained by imaging system often can't satisfy the actual application requirements. With the wide use of image processing, the demand of high resolution image is growing more and more. For this reason, rhe method based on the signal processing, namely image super resolution reconstruction technology, became widely concerned hot improve to image resolution.Thesis has deeply researched based on the super resolution reconstruction in airspace and the pixel domain. First of all, it has proposed a super resolution reconstruction method based on noise estimates in airspace. This method avoids the fluctuation of results caused by estimate errors with some models. Experimental results show that the proposed algorithm has good results in the subjective and objective and further raise the image quality with restraining the noise.Secondly, because insufficient of global image registration with partial motion. This paper has proposed the image reconstruction method based on the Zernike moment in pixel domain. Through recovering the target image per-pixel and avoiding interference of the local shift, and rotated condition in the reconstruction process, this method has high quality and noise robustness. The proposed approach has good performance in subjective and objective.Finally, in order to make the method called Zernike moment based super resolution reconstruction can be effectively applied to reality. This paper has presents a fast algorithm based on image quilting in pixel domain. This method has accelerated the speed of algorithm with turning the reconstruction per-pixel to per- block and combining the technique of image quilting. Experiments show that the proposed algorithm has greatly reduced the computational complexity with keeping the quality of reconstruction image.