MOTION ESTIMATION AND COMPENSATION FIELD RATE UP CONVERSION METHOD FOR VIDEO, AND DEVICE FOR ACTUATING THE METHOD

    公开(公告)号:JPH11168703A

    公开(公告)日:1999-06-22

    申请号:JP11564598

    申请日:1998-04-24

    Abstract: PROBLEM TO BE SOLVED: To obtain a compensation field rate up method by evaluating an error function for each pair of image blocks, evaluating the extent of homogeneity property for each pair of estimation motion vectors, applying a fuzzy rule which has a start level for each pair of estimation motion vectors, deciding the best estimation motion vector of the pair and deciding an estimation motion vector of the image blocks. SOLUTION: A block C BUILD is supplied according to the output of a block FUZZY, an updating set is supplied to a component of a candidate motion vector C, and eight updating motion vectors are decided. An appropriate image block which is positioned by a motion vector that is selected by a block ADDGEN is decided, and the block ADDGEN is supplied by an output of a block VPROC and an output of the block C BUILD. Error function value that is related to eight updating motion vectors which are evaluated by a block SAD 2 is supplied to a block CSEL, and a motion vector related to image block is selected as an estimation motion vector.

    2.
    发明专利
    未知

    公开(公告)号:DE69727911D1

    公开(公告)日:2004-04-08

    申请号:DE69727911

    申请日:1997-04-24

    Abstract: A method and a device for motion estimated and compensated Field Rate Up-conversion (FRU) for video applications, providing for: a) dividing an image field to be interpolated into a plurality of image blocks (IB), each image block made up of a respective set of image elements of the image field to be interpolated; b) for each image block (K(x,y)) of at least a sub-plurality (Q1,Q2) of said plurality of image blocks, considering a group of neighboring image blocks (NBÄ1Ü-NBÄ4Ü); c) determining an estimated motion vector for said image block (K(x,y)), describing the movement of said image block (K(x,y)) from a previous image field to a following image field between which the image field to be interpolated is comprised, on the basis of predictor motion vectors (PÄ1Ü-PÄ4Ü) associated to said group of neighboring image blocks; d) determining each image element of said image block (K(x,y)) by interpolation of two corresponding image elements in said previous and following image fields related by said estimated motion vector. Step c) provides for: c1) applying to the image block (K(x,y)) each of said predictor motion vectors to determine a respective pair of corresponding image blocks in said previous and following image fields, respectively; c2) for each of said pairs of corresponding image blocks, evaluating an error function (errÄiÜ) which is the Sum of luminance Absolute Difference (SAD) between corresponding image elements in said pair of corresponding image blocks; c3) for each pair of said predictor motion vectors, evaluating a degree of homogeneity (H(i,j)); c4) for each pair of said predictor motion vectors, applying a fuzzy rule having an activation level (rÄkÜ) which is higher the higher the degree of homogeneity of the pair of predictor motion vectors and the smaller the error functions of the pair of predictor motion vectors; c5) determining an optimum fuzzy rule having the highest activation level (rÄoptÜ), and determining the best predictor motion vector (PÄminÜ) of the pair associated to said optimum fuzzy rule having the smaller error function; c6) determining the estimated motion vector for said image block (K(x,y)) on the basis of said best predictor motion vector (PÄminÜ).

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