基于稠密矢量场及自适应补偿的帧率上变换

为了有效解决视频帧率上变换中物体边缘出现的模糊和块效应等问题,结合运动估计,优化了矢量化后处理和运动补偿算法.在基于块的运动估计中,结合运动的时空相关性优化块匹配算法,提高物体边缘运动矢量的准确性;通过基于像素块相关性的插值算法,获取像素矢量场,并保持物体结构完整性;在运动补偿时,结合矢量后处理的分类信息,自适应地进行加权插值计算,提高内插帧的质量.实验结果表明,与传统方法相比,该方法在主观和客观质量上都有较大的提升.

A Frame Rate Up-conversion Based on Dense Vector Field and Adaptive Compensation

In order to solve problems such as edge blur and blocking artifacts in frame rate up-conversion, block matching (BM) algorithm and motion compensation (ME) algorithm is improved based on motion estimation. In the block-based motion estimation way, BM algorithm is optimized by adding motion information of temporal and spatial correlation , and reducing the blocking effect of moving objects; Pixel MV is applied in the MC and is calculated by bilateral filter based on correlation between pixel blocks, to maintain the structural integrity of the objects; In motion compensation, the classification information of the MV processing is used for adaptively weighted interpolation to improve the quality of the interpolated frame. Experimental results show that, this algorithm improves the image quality in the subjective and objective quality the traditional method.