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Filtered Mapping-Based Method for Compressed Web Image Super-Resolution
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DOI：10.1109/ACCESS.2017.2721458.png)
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Abstract
En 中文
The Web images and videos are often downsampled and compressed to save the bandwidth and storage. Hence, the low-quality and low-resolution Web images/videos cannot match the high-definition display devices nowadays. Unfortunately, traditional image super-resolution (SR) methods are not very robust to compression artifacts. In this paper, we propose an efficient joint SR and deblocking method based on simple three-step-process, which consists of a block-matching and 3D filtering process, a local binary encoding process, and a mapping reconstruction process. Furthermore, the cascade framework and an extra post-processing are also presented for large magnification factors. Experimental results on real-world Web images with obvious compression artifacts demonstrate that the proposed method can reproduce clear and sharp SR results, and effectively remove the unnatural artifacts at the same time.
Keywords:
Super-resolution
upsampling
deblocking
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