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Research on Super-Resolution Image Reconstruction

Author: DongLi
Tutor: XuXiangMin
School: South China University of Technology
Course: Signal and Information Processing
Keywords: Super-resolution Image Reconstruction Block-matching Maximum a posteriori estimate
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 144
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Abstract


The super-resolution image reconstruction technique is a method by the signal processing, the use of the information obtained in the low-resolution image frame sequence, fusion to restore a high-resolution image algorithm. Because hardware constraints, noise and blur pollution, usually difficult to obtain the ideal high-resolution images, higher resolution requirements, such as military, investigation, medical technology is increasingly important. Because the technology is the efficiency of a sacrifice of time in exchange for processing spatial resolution of the reconstruction algorithm is more or less there is a huge amount of computation algorithm tedious or rebuild the effect is less than ideal, and many other issues. For how to reduce the amount of computation in the image registration process, choices priori model in the reconstruction process, and how to simplify the the step calculations do some research and try out a smaller amount of calculation, rebuild better super-resolution reconstruction algorithm. This paper first introduces the mathematics and physics of the problem of super-resolution image reconstruction, and then from the relationship between the image of the imaging process and the image degradation model derived from it, as well as image sequence frame the original high-resolution image aspect of the problem of super-resolution image reconstruction complete exposition and analysis. Then they super-resolution image reconstruction two core steps: registration and reconstruction were explained in detail. Image registration: registration is to collect more detailed information for the reconstruction of the image in order to obtain a low-resolution image sequence frames inter-frame motion displacement. The precise alignment is the essential foundation of the image reconstruction. Block matching algorithm selection, text through experimental analysis prove blocks matching algorithm is a practical application in a fast and efficient algorithm, and then combined with the existing pyramid model of hierarchical thinking, try a new three-step pyramid model search block-matching algorithm to further reduce the amount of computation, but also improve the accuracy of registration. Image reconstruction: estimated according to the movement of the conventional image frame sequence, the information in a sequence of frames in the integration, and to return to the process of a high-resolution image. Maximum a posteriori probability algorithm selection for redevelopment, first proposed an improved bilinear interpolation algorithm for image interpolation. Then, through the comparative analysis of several prior model, derived Gibbs model has local feature to complete the overall reconstruction and convergence of the good two major advantages, so the selection of the model as the reconstruction of a priori model. Finally MAP algorithm difficult to calculate step to solving the problem, try an improved algorithm Iterative MAP reconstruction need to use prior information to determine the step size, but at the same time enhance the image constantly adjust the step.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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