Optical EngineeringMapping parameter estimation using integral projections and segmented moving objects in object-oriented analysis-synthesis coding
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Object-oriented analysis-synthesis coding subdivides each image of a sequence into a number of moving objects and compensates the motion of each object. Thus it can reconstruct real motion better than conventional motion-compensated coding techniques at very low bit rates. It uses a mapping parameter technique for estimating motion information of each object. Since a mapping parameter technique employs gradient operators, the estimated parameters are sensitive to redundant details and noise. To determine mapping parameters accurately, we propose a new analysis method using integral projections for estimation of gradient values. Also, to reconstruct the local motion correctly, the proposed algorithm divides an image into segmented objects, each having uniform motion information, whereas the conventional one assumes a large object having the same motion information. Computer simulation results with several test sequences show that the proposed image analysis method in object-oriented analysis-synthesis coding gives better performance than the conventional one.