A motion compensated de-interlacing algorithm for motive object capture

A motion compensated de-interlacing algorithm is proposed to recover the defects of interlaced video frame for capturing motion object. In this algorithm, two anti-noise background fields are formed by analyzing the temporal correlation of pixels between adjacent same parity fields. To each field, the subtraction with the corresponding background is used to detect motion object. To avoid the inaccurate detection caused by the difference between the spatial scanning positions of odd and even field, the motion objects are detected with same parity field and background field. Then motion estimation technology is used to measures the inter-field motion, find out the motion vector between the odd field and even field. Based on the motion vector, an interpolation filter is designed to shift the pixels of the motion object in the two temporally displaced fields to a common point in time. This de-interlacing algorithm maximizes the vertical resolution of the motion objects. Experimental results show that the proposed algorithm could achieve higher image quality on motion object, and the computational complexity is acceptable for consumer computer applications.