International Journal of Computer Vision - Special issue on statistical and computational theories of vision: modeling, learning, sampling and computing, Part I
Example-Based Super-Resolution
IEEE Computer Graphics and Applications
Limits on Super-Resolution and How to Break Them
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Face Hallucination: Theory and Practice
International Journal of Computer Vision
Fast and robust multiframe super resolution
IEEE Transactions on Image Processing
A MAP Approach for Joint Motion Estimation, Segmentation, and Super Resolution
IEEE Transactions on Image Processing
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Super-resolution (SR) processing reconstructs a high-resolution image from a set of low-resolution images for same scene. Spatial domain approaches in the super resolution algorithm were widely used. In this paper, we purposed an algorithm that converts the spatial domain into the frequency domain through the 2-dimension DFT for four low-resolution images. Utilizing the horizontal and vertical DFT (Discrete Fourier Transform) phase spectrum carry the horizontal and vertical direction feature information in frequency domain, we can make a high resolution image presented more visible details. We verify accuracy and efficiency from experimental results.