Video frame rate up conversion method based on sparse redundant representation model

A technology of video frame rate and conversion method, applied in the field of video coding

Inactive Publication Date: 2016-08-10
XINYANG NORMAL UNIVERSITY
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However, this method causes a large number of block overlaps and holes, which

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  • Video frame rate up conversion method based on sparse redundant representation model
  • Video frame rate up conversion method based on sparse redundant representation model
  • Video frame rate up conversion method based on sparse redundant representation model

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[0065] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0066] like figure 1 As shown, the method of the present invention acquires the previous frame f t-1 with subsequent frame f t+1 The forward optical flow vector v at any pixel position (i, j) between t-1，t+1 Under the premise of (i, j), according to the two-way symmetry assumption, the interpolation frame f is searched in the space-time neighborhood t The forward optical flow vector v at the same pixel position (i, j) in t，t+1 (i, j), and use the predicted optical flow field to reconstruct the intermediate frame f t . By using the method of the invention to periodically insert several frames between adjacent frames, the video frame rate up-conversion can be realized. The frame insertion algorithm flow is as follows figure 2 As shown, firstly, the forward and backward reference frames f are generated by forward optical ...

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Abstract

The invention discloses a video frame rate up conversion method based on a sparse redundant representation model. The method comprises the steps that (1) a forward optical flow vector vt-1,t+1(i, j) at any pixel location (i, j) between front and back frames ft-1 and ft+1 is estimated; (2) according to the assumption of movement symmetry, based on the forward optical flow field vt-1,t+1 of the front frame ft-1, bidirectional three-dimensional recursive searching is carried out pixel by pixel, and the optimal optical flow vector vt, t+1(i, j) at the current pixel position (i, j) is calculated (3) an optical flow vector in the optical flow field vt,t+1 is smoothened pixel by pixel to ensure the optical flow consistency in a local area and prevent a false optical flow vector; (4) front and back frames ft-1 and ft+1 and the optical flow field vt,t+1 are used to construct a sparse reconstruction model of the current frame ft; (5) a regularization parameter and a sparse representation dictionary in the sparse reconstruction model are estimated; and (6) a nonlinear optimization method is used to solve the sparse reconstruction model to acquire the current frame estimation. Compared with the prior art, the method provided by the invention can effectively improve the performance of video frame rate up conversion.

Description

technical field [0001] The invention belongs to the technical field of video coding, and relates to a video frame rate up-conversion method, in particular, it proposes using a sparse redundant representation model to suppress blurring caused by abnormal motion vectors during the up-conversion process. Background technique [0002] High frame rate video can bring an excellent visual experience, and its display screen is closer to reality, which is a new trend of ultra-high-definition video production technology. Limited by the acquisition rate of ordinary electronic consumer digital cameras, the current frame rate of video program sources is generally 30 frames per second, that is, 30fps, which is still not enough to smoothly depict delicate movements, and it will bring a certain sense of stagnation to the eyes. Watching is extremely tiring. Improving the acquisition rate of the device directly by hardware will double the cost and is not conducive to product promotion. There...

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Application Information

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IPC IPC(8): H04N19/132H04N19/139H04N19/587H04N19/176H04N19/513H04N7/01
CPCH04N7/014H04N19/132H04N19/139H04N19/176H04N19/513H04N19/587
Inventor 李然郭华平董喜双刘宏兵
Owner XINYANG NORMAL UNIVERSITY
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