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Research on Image Super-resolution Reconstruction

Author: JiaLiang
Tutor: LiNing
School: Nanjing University of Aeronautics and Astronautics
Course: Communication and Information System
Keywords: Super-resolution reconstruction The frequency-domain image registration Rotation estimated Correlation function method Spectrum aliasing Non-uniform interpolation
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 224
Quote: 3
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Abstract


High-resolution image pixel density to provide more details for the digital image processing , and lay a good foundation for image post-processing . However , due to the limitations of the imaging equipment , lighting and other conditions , access to the image resolution is often low. So , how to effectively improve the imaging quality of the image into the image processing is a very critical and important task . The image super-resolution reconstruction technique is one of the primary means to improve the image resolution . Image super-resolution reconstruction algorithm is a series of low-resolution images of the same scene to reconstruct a high-resolution image . The key to such an algorithm is the ability to precisely with the quasi - input low-resolution image . Usually a low-resolution images Subsampling spectrum aliasing phenomenon exists , therefore , based on Fourier transform frequency domain registration algorithm performance will drop . Further, the conventional estimation method based on two-dimensional correlation of the rotation calculation amount large, often difficult to achieve in practical applications . In view of the above problem of multi-frame super-resolution image reconstruction techniques were studied in detail and experimental analysis , mainly to complete the work of the following aspects : First, a detailed description of the super-resolution image reconstruction technology at home and abroad Research , summarizes the reconstruction algorithm includes image registration , the interpolation reconstruction and image restoration three basic aspects , and non- uniform interpolation method discussed these most intuitive method . Second , the focus of analysis in the frequency domain image registration method , rotation estimated during two-dimensional correlation operation into one-dimensional computing process deficiencies at the improved weighted algorithm , thereby effectively improving the registration accuracy. Then , on the basis of the improved algorithm , the overall image super-resolution reconstruction algorithm flow . The standard image simulation experiment proved that the algorithm is effective . At the same time , the the real shot image reconstruction experimental results show that the algorithm has a certain practicality . This work is summarized , and a constructive program for the reconstruction of the technical follow-up work .

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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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