Super-resolution Omnidirectional Image Reconstruction Based On Waveletution

The panoram photograph system captures an omnidirectional image which is bigger than the hemisphere field of view(360°×180°) by hyperboloid reflector, access to the entire 360 degrees around the scene of the target information through CCD. However, the resolution of the image is lower than that of conventional camera image, because 360 degree field of view is captured by only one CCD. Moreover the output image would be de degraded due to the blur and noise caused by the imaging system. These disadvantages make it restrictive for some applications where remote and high definition surveillance is needed.Super-resolution (SR) image fusion is the technology of reconstructing a frame of image with high resolution from a group of warped, blurred and noised low-resolution (LR) images or video sequence about the same scene. The goals of this technology are to break through the resolution limitation of the imaging hardware facilities, to make up the loss of spatial resolution during the acquisition and transmission of images by the help of the data fusion of complementary information between multi-frame images. It can not only improve the visual effect of image, but also be convenient and beneficial for computer to analyze, process, recognize and understand the image. So far, the technology of Super-resolution image fusion has been extensively applied to remote sensing, military, public security, computer vision, medical imaging, image compression and so on. Therefore, in this paper,the measurement and means for enhancing the resolution and definition of the omnidirectional images is researched cased on the SR technique.Firstly, A comprehensive review of the basic theories and techniques of superresolution is addressed .The process of acquiring images and the major factors affecting images' quality are analyzed briefly.Secondly, the causation of the de decline of the resolution and the special movement of the circumferential resolution and radial resolution is analyzed. Based on the multiresolution analysis with orthonormal wavelets, the wavelet superresolution algorithm for the more general camera motion model is analyzed. The implementation of this algorithm to the superresolution for omnidirectional image is a great progress.