A Study on Simultaneous Achievement of Image Quality Improvement and Computational Cost Reduction in Super-Resolution using Overlapped Block Matching

Abstract

An improved super-resolution method that achieves dense motion estimation (DME) with multiple motion vectors using overlapped block matching (OBM) was proposed. Also, a computational cost reduction method that uses the statistics of multiple motion vectors was proposed under the condition that preserves the original performance of the improved super-resolution method completely. In this work, we investigate the possibility to achieve further computational cost reduction and image quality improvement simultaneously when the constraint that completely preserves the performance of the improved super-resolution method is relaxed. Experimental results show that we can further reduce computational cost up to around 20.7 - 27.8% while slightly improving or keeping the quality of reconstructed images depending on observed images.