Taking the Brownian dimension as their texture feature, image blocks were clustered and sorted, to control the number of domain blocks to be compared with each range block in coding. Furthermore, by combining techniques such as excluding plain blocks and building domain pool from averaged image, a fast algorithm for fractal coding was obtained, in which the coding time can be linearly controlled and predicted by the number of domain blocks compared with each range block. Experiment results indicate that with the same compression ratio, the proposed method improves the speed of coding with even better quality of decoded image, in contrast to existing classification and clustering methods.
The schemes to solve the high bit error problem in wireless networks were discussed. Aiming to improve the performance of TCP protocal in mobile environments, two typical TCP models of the pure end-to-end approaches, TCPW and TCP-Real, were researched. The pure end-to-end schemes have the advantage of preserving the end-to-end semantics of TCP protocol. Simulation results with different bit error conditions of these protocols reveal an evident improvement in terms of TCP performance in relative to others, especially when the bit error rate is high.