Moving object detection is the essential process of object recognition, marking and tracking in video sequences, the background subtraction algorithm is widely used in moving object detection. Concerning the problem that illumination changing, noise and local motion seriously affect the accuracy of moving object detection, a moving object detection algorithm based on background subtraction for video sequences was proposed. The background subtraction was combined with inter-frame difference to estimate the motion state of current frame pixels. The related pixels in the static and motion region were replaced and updated respectively. The Otsu method was used to extract moving object and the mathematical morphological operation was used to eliminate the noise and redundant information in the objects. The experimental results show that the proposed algorithm has good visual effect and high accuracy for detecting moving objects in video sequences, and it can overcome the shortcomings such as local movement and noise.

The traditional module design for Serial Peripheral Interface (SPI) is inflexible, unfavorable to expand and does not support the out-of-order access. In order to solve the problems, a kind of SPI module for System-on-a-Chip (SoC) was designed. Firstly, the basic architecture of SPI was designed according to the SPI communication protocol. Secondly, the Finite State Machine (FSM) of input and output, the extension ports and the Identification (ID) module supporting the out-of-order access were designed according to the architecture of SPI. Thirdly, the correctness of the SPI design was verified by using Verilog Compile Simulator (VCS) simulation tool of Synopsys. Finally, a random verification environment was built for the SPI design, in which parameters could be configured. The code coverage report was analyzed and test points were manually added to improve the code coverage rate. The simulation results show that, compared with the traditional design of SPI, the design of SPI module for SoC supports Advanced eXtensible Interface (AXI) bus extension and has eight independent read and write channels, each of which can be out-of-order accessed. The proposed design is incapable of occurring channel congestion.

This paper proposed a new numerical method for Total Variation (TV) wavelet inpainting algorithm. The information of neighborhood of damaged pixel was employed sufficiently to calculate curvature in pixel domain. In comparison with the traditional approximation solution method, the proposed algorithm has higher accuracy; moreover, the result is also less sensitive to noise. The experimental results which use different loss ratio of image show that the proposed method achieves better inpainting effect, especially when the wavelet coefficient is relatively high. The proposed method provides new idea for restoring the missing information in the wavelet domain.