【摘要】：提出了一種基于多引導濾波器的單幅圖像超分辨率方法。首先,該方法通過大量的自然圖像建立高低分辨率圖像塊樣本訓練庫,并通過聚類算法將具有相似性質(zhì)的高低分辨率樣本塊進行聚類;其次,將輸入低分辨率圖像進行重疊分塊,并在樣本庫中搜索最近鄰的高低分辨率樣本聚類;再次,將輸入低分辨率圖像塊作為輸入圖像,與樣本庫中最近鄰的低分辨率聚類樣本作為引導圖像,運用本文提出的多引導濾波器計算引導濾波器的參數(shù);最后,利用樣本庫中最近鄰的高分辨率聚類樣本和引導濾波器的參數(shù),通過多引導濾波器就可以重構(gòu)高分辨率圖像。實驗結(jié)果表明,本文算法不僅能很好地重構(gòu)圖像的高頻細節(jié),還能很好地恢復(fù)圖像的紋理特征。
[Abstract]:A single image super-resolution method based on multi-pilot filter is proposed. Firstly, the high and low resolution image block sample training database is established through a large number of natural images, and the high and low resolution sample blocks with similar properties are clustered by clustering algorithm. Secondly, the input low resolution image is overlapped and the nearest neighbor high and low resolution sample clustering is searched in the sample database. Thirdly, the input low-resolution image block is used as the input image, and the nearest neighbor low-resolution clustering sample in the sample database is used as the guided image, and the parameters of the pilot filter are calculated by using the multi-pilot filter proposed in this paper. Finally, the high-resolution image can be reconstructed by using the parameters of the nearest neighbor high-resolution clustering sample and guiding filter in the sample database. The experimental results show that the proposed algorithm can not only reconstruct the high frequency details of the image, but also restore the texture features of the image.
【作者單位】： 西京學院電子信息工程系;西安交通大學電信學院計算機科學與技術(shù)系;
【基金】：國家自然科學基金(61473237)
【分類號】：TN713;TP391.41

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