Super-Resolution Imaging
Iterative-Interpolation Super-Resolution Image Reconstruction: A Computationally Efficient Technique
Iterative-Interpolation Super-Resolution Image Reconstruction: A Computationally Efficient Technique
Fast and robust multiframe super resolution
IEEE Transactions on Image Processing
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A new signal processing method to improve video image quality is proposed in this paper. Improving video image resolution has been researched for many years. The method of edge enhancing is usually known as Sharpness Circuit (SC), Enhancer or Unsharp Mask,. It is widely used since it works in real time and it is cost efficient. However, edge enhancing does not actually improve the degree of resolution but increases perceived resolution. It is almost impossible to create components exceeding the Nyquist frequency using conventional linear signal processing methods. Super Resolution (SR) is a highly interesting research field and many ideas and methods have been proposed, some of which have the potential to actually enhance the resolution. However, these ideas have not been widely discussed in the frequency domain. A new signal processing method that creates components exceeding the Nyquist frequency is proposed. The simulation results are discussed with regard to time domain as well as to the frequency domain.