Analysis of the multispectral remotely sensed images of the areas destroyed by an earthquake is proved to be a helpful tool for destruction assessments. The performance of such methods is highly dependant on the preprocess that registers the two shots before and after an event. In this paper, we propose a new fast and reliable change detection method for remotely sensed images and analyze its performance. The experimental results show the efficiency of the proposed algorithm.

Error concealment is very important for video communication as an application-layer error control mechanism which can be used independently of the underlying communication infrastructure. In this paper, we propose a noncausal whole-frame concealment algorithm to conceal lost frames in the video sequence. The proposed algorithm consist of two parts. First, the preliminary version of the lost frame is generated using motion vectors from three different sources: from previous frames, upcoming frames, and, in case of RPS-NACK, the reset frame as well. Then, to fill the remaining empty areas, the algorithm uses spatiotemporal boundary matching. Experimental results show that the complexity of the proposed algorithm is low enough to run in real time, while achieving higher PSNR and providing better visual quality than the competing state-of-the-art method.

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