International Journal of Computer Vision
Ordinal regression based subpixel shift estimation for video super-resolution
EURASIP Journal on Advances in Signal Processing
GPU-accelerated hierarchical dense correspondence for real-time aerial video processing
WMVC'09 Proceedings of the 2009 international conference on Motion and video computing
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This paper introduces a new algorithm for enhancing image resolution from an image sequence. The approach we propose herein uses the integrating resampler proposed by Chiang and Boult as the underlying resampling algorithm. Moreover, it is a direct method, which is fundamentally different from the iterative, back-projection approaches proposed in previous work. We show that image warping techniques may have a strong impact on the quality of image resolution enhancement. By coupling the degradation model of the imaging system directly into the integrating resampler, we can better approximate the warping characteristics of real sensors, which also highly improve the quality of super-resolution images. Examples of super-resolutions are given for gray-scale images. Evaluations are made by comparing the resulting images and those using bi-linear resampling and back-projection. Results from our experiments show that integrating resampler outperforms traditional bi-linear resampling.