基于三边滤波的双域混合上采样单帧超分辨率

Zhenyu Wu, H. Hu
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引用次数: 0

摘要

上采样是多媒体处理的关键技术之一。更高分辨率的视频一直是大客户的追求目标。多媒体处理的普遍应用需要这种技术来解决发送方和接收方之间显示分辨率不匹配的问题。基于DCT- wiener的混合插值方法通过对空间域和DCT域的信息进行简单的挖掘,设计了一个强大的视频帧插值框架。与许多已有的插值方法相比,该方法可以提供更好的客观质量和视觉质量,并且复杂度较低。本文首先分析了基于dct - wiener的混合插值方法存在的瓶颈。然后,提出了一种基于三边滤波的对偶域混合上采样算法,更深入地挖掘了空间域和频率域的信息。本文提出的空域插值方案是一种带有三边滤波增强的自适应维纳滤波器,能够克服基于dct -维纳混合插值方法的四分之一像素偏移失配,实现更精确的细节信息估计。此外,在频域灵活的块大小选择机制使整个上采样算法在高频系数保留方面具有进一步的优势。实验已经进行,以证明所提出的算法能够在客观和视觉质量测量中实现比最先进的方法显著的增益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trilateral filtering-based hybrid up-sampling in dual domains for single video frame super resolution
Up-sampling has been one of the key techniques for multimedia processing. Higher resolution videos are always the pursuit goal of major customers. Pervasive applications of multimedia processing starve for this technique to solve mismatch problems in display resolutions between senders and receivers. The hybrid DCT-Wiener-based interpolation method designs a powerful framework to interpolate video frames by mining the information in both spatial and DCT domain briefly. It can provide better objective as well as visual qualities with low complexity than many existing well studied interpolation methods. This paper presents an analysis about the bottleneck of hybrid DCT-Wiener-based interpolation method firstly. And then, proposes a trilateral filtering-based hybrid up-sampling algorithm in dual domains, which has dug the information in spatial and frequency domains more deeply. The proposed spatial domain interpolation scheme is an adaptive Wiener filter with a trilateral filtering enhancement, which possess capability to overcome the quarter-pixel shift mismatch of hybrid DCT-Wiener-based interpolation method and achieve much more accurate detail information estimation. Furthermore, flexible block size chosen mechanism in frequency domain enables the whole proposed up-sampling algorithm achieve further advantages in high frequency coefficients retaining. Experiments have been carried out to demonstrate that the proposed algorithm is able to achieve noticeable gains over state of art methods in both objective and visual qualities measurements.
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