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Digital cameras usually use a single sensor covered with a colour filter array which samples only one colour at the location of each pixel. Restoring a full-colour image by the demosaicking technique is a key task in the digital imaging pipeline. This study proposes a novel demosaicking approach based on the existing directional filtering and weighting techniques. The contributions of this study are two-fold. First, the authors analyse the advantages and limitations of the existing directional filtering and weighting techniques, and improve the two existing techniques in order to suppress the common demosaicking artefacts. Second, the authors give a new estimated scheme for the reconstruction of the colour components. The experimental results show that the proposed method outperforms the recent six state-of-the-art demosaicking methods in terms of both subjective and objective measures.

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The purpose of research on calculation of low voltage distribution network theoretical line loss is define a calculating method and through the method to calculate the low voltage distribution network theoretical line losses.The calculation of low voltage distribution network theoretical line losses is the foundation of the power system economic operation,the reactive power optimization and the grid technique modification.Through the theoretical loss calculation, the operation management department can undertake line loss analysis,thus they can adopt feasible loss reduction measures,and achieve maximum economic benefits. this paper puts forward through the power flow calculation system,to calculate the low-voltage distribution network users theoretical line loss.Matpower is a softwate package of matlab,which is for power flow and optimal power flow.Based on the relationship between power loss and power flow calculation, calculated the power flow using matpower package,and explained the role in the use of computing to slove the line losses. Through the IEEE (Institute of Electrical and Electronic Engineers) example of 14 nodes and some specific instances of low voltage distribution network calculation, proves that the method is feasible. The results also shows that matpower is suitable for calculating low voltage distribution network theoretical line loss.

Guleryuz proposed a simple and powerful image denoising algorithm using weighted averaging based on DCTs. The shortcomings of Guleryuz's method are that it needs to train two threshold parameters and its denoising ability deteriorates when noise level becomes high. In this paper, we give a method which trains the two parameters. We also improve Guleryuz's method via local Wiener filtering. Our method only needs to train a threshold parameter and also performs significantly better than Guleryuz's method.