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首页> 外文期刊>Journal of visual communication & image representation >Video super-resolution with registration-reliability regulation and adaptive total variation
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Video super-resolution with registration-reliability regulation and adaptive total variation

机译：具有注册可靠性调节和自适应总变化的视频超分辨率

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摘要

In super-resolution that constructs a high-resolution (HR) image from a set of low-resolution (LR) reference images, it is crucial to align the LR reference images in order to efficiently exploit the pixels therein. However, due to the existence of complex local motion, ideal registration is difficult to acquire. In this paper, we present a robust video super-resolution scheme with registration-reliability regulation and content adaptive total variation regularization, which make the scheme resilient to registration failures. In order to handle ill-registered pixels, we propose a registration-reliability regulated data-fidelity term, which assigns smaller weights to the pixels with larger locally-averaged registration residuals. In addition, a content adaptive total variation based on structure tensor, which is used to estimate image local structures, is proposed to regularize the super-resolved images. The structure tensor is derived not only from the gradients of local patches but also the nonlocal similar patches. Experimental results show that the proposed scheme can remarkably improve both the objective and subjective quality of the video super-resolution results. (C) 2015 Elsevier Inc. All rights reserved.
机译：在从一组低分辨率（LR）参考图像构建高分辨率（HR）图像的超分辨率中，对齐LR参考图像以有效利用其中的像素至关重要。但是，由于存在复杂的局部运动，因此难以获得理想的配准。在本文中，我们提出了一种具有配准可靠性调节和内容自适应总变化正则化的鲁棒视频超分辨率方案，从而使该方案能够抵抗配准失败。为了处理不良配准的像素，我们提出了配准可靠性受控的数据保真度术语，该术语将较小的权重分配给具有较大局部平均配准残差的像素。此外，提出了一种基于结构张量的内容自适应总变化量，用于估计图像局部结构，以对超分辨图像进行正则化。结构张量不仅从局部斑块的梯度导出，而且从非局部相似斑块的梯度导出。实验结果表明，该方案可以显着提高视频超分辨率结果的客观和主观质量。 （C）2015 Elsevier Inc.保留所有权利。

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