Robust motion-compensated video upconversion
IEEE Transactions on Consumer Electronics
New frame rate up-conversion using bi-directional motion estimation
IEEE Transactions on Consumer Electronics
Weighted-adaptive motion-compensated frame rate up-conversion
IEEE Transactions on Consumer Electronics
Coarse-to-fine frame interpolation for frame rate up-conversion using pyramid structure
IEEE Transactions on Consumer Electronics
Motion compensated frame interpolation by new block-based motion estimation algorithm
IEEE Transactions on Consumer Electronics
De-interlacing algorithms based on motion compensation
IEEE Transactions on Consumer Electronics
A cost effective motion estimation processor LSI using a simple and efficient algorithm
IEEE Transactions on Consumer Electronics
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Optimal temporal interpolation filter for motion-compensated frame rate up conversion
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
True-motion estimation with 3-D recursive search block matching
IEEE Transactions on Circuits and Systems for Video Technology
A novel approach to FRUC using discriminant saliency and frame segmentation
IEEE Transactions on Image Processing
Hi-index | 0.08 |
In this paper, a new technique on video frame rate up-conversion (FRUC) is presented by combining the adaptive motion classification (AMC) for image sequences and the mixed motion estimation (ME). In the proposed FRUC scheme, the AMC classifies sequences into global and local motion sequences (G/LMS) whose advantages are fully utilized. The mixture of bidirectional ME (BDME) and unidirectional ME (UDME) is proposed to avoid hole and ''background replace object'' phenomenon in interpolated frames. Moreover, the motion vectors (MVs) refinement technique is employed to smooth MVs field. For LMS, the motion detection is used to deal with static background and occlusions are located by using forward prediction of motion regions. Correctional sum of absolute difference (CSAD) which gives more precise physical MVs field than conventional SAD is applied during all of the ME process. Simulation results demonstrate the effectiveness of the proposed FRUC algorithm.