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A new path based interpolation using object motion for frame rate up conversion

机译:基于新的路径插值,用于帧速率转换的对象运动

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Frame Rate Up Conversion (FRUC) makes video playback smoother and more natural to the human eye by inserting interleave frames between existing frames. Quality of existing FRUC has had issues of ghosting and blurring effects caused by interpolation based on blending function. Existing motion estimation method produces inaccurate motion vectors, which are the culprit of low quality frames when motion-compensated interpolation is applied. Unidirectional FRUC needs to address hole area; most existing methods handle hole areas while considering spatial relation. In this approach, motions appear unnatural when hole areas are too large due to large motions or when a hole appears on an object border. Addressing these issues, we propose in this work a path-based interpolation framework that reduces ghosting and blurring effects and minimizes hole areas. To reduce occurrence of hole regions, forward/backward motion estimation is first performed. During interpolation, more natural-looking trajectory path selected; pixels on the path are copied to the interpolated frame. This is different from the approach MCI takes, which blends pixels of reference and source frames. As a guide to selecting a more appropriate frame, a rule is proposed considering temporal relation. To select an appropriate frame, we present a rule that considers temporal relations. With our method, improvement in PSNR was insignificant when compared to conventional methods, but frame quality is much improved with significantly reduced ghosting and blurring effects.
机译:帧速率上升转换(FRUC)使视频播放通过在现有帧之间插入交错帧来使人眼更光滑和更自然。现有FRUC的质量具有基于混合功能的插值引起的重影和模糊效应的问题。现有运动估计方法产生不准确的运动矢量,其是当应用运动补偿的插值时的低质量帧的罪魁祸首。单向FRUC需要解决孔区域;大多数现有方法在考虑空间关系时处理孔区域。在这种方法中,由于孔区域由于大的运动或孔出现在物体边界上时,运动时,运动显得不自然。解决这些问题,我们在这项工作中提出了一种基于路径的插值框架,可减少重影和模糊效果并最小化孔区域。为了减少孔区域的发生,首先执行前向/向后运动估计。在插值期间,选择更多自然的轨迹路径;路径上的像素被复制到内插帧。这与方法MCI不同,这将混合参考和源帧的像素。作为选择更合适的帧的指南,提出了考虑时间关系的规则。要选择合适的帧,我们呈现了一项考虑时间关系的规则。通过我们的方法,与常规方法相比,PSNR的改进是微不足道的,但框架质量很大,重影和模糊效果显着降低。

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