| 摘要 |
A digital image stabilization device receives correlation data generated from a plurality of local motion estimation areas and adaptively decides a motion vector according to irregular image environment. To do this, statistical variables and local motion vector are generated to check reliability by checking correlation values generated from each local motion estimation area. Then, it is determined that there is irregular image data deteriorating reliability of local motion vector, by analyzing statistical variables. Here, the irregular image environment can be in an image signal with low contrast, an image signal with a moving object, an image signal with repeated motion, etc. Also, isolativity and stability are obtained by analyzing local motion vector and a weight signal is generated with a predefined rate according to a computed result. Then, the output of the weight signal is controlled, according to a result of the reliability determination signal, where if there is irregular image data, the output of weight signal is blocked. And, a field motion vector is generated by multiplying a weight signal by a corresponding local motion vector and then averaging them. Finally, an accumulated motion vector is generated by attenuating a previous accumulated motion vector and adding the attenuated previous accumulated motion vector into the field motion vector.
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