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This paper proposes an improved amplitude spectrum based Fourier-Mellin algorithm Fourier by studying the nature of the Fourier transform image of the amplitude spectrum and the application of phase spectrum in estimation for image motion vector according to the shortcomings of traditional Fourier-Mellin algorithm when the video image translation, rotation and scaling of the situation exist. Experimental results show that the algorithm can estimate the rotation, translation and other vector parameters of a complicated motion model .The complexity of the algorithm has greatly improved comparing to the traditional Fourier-Mellin algorithm.

In order to enhance the image contrast obtained in fog or haze, an optimized algorithm that based on the modified Retinex module is proposed. According to the defects of the traditional Retinex algorithm, such as high complexity and the halo phenomenon, this method enhanced the image global contrast by modifying the illumination component, and corrected the reflection component using nonlinear function. The experimental results showed that it can increase foggy image clearness quickly, adjust the image brightness effectively and overcome time-consuming drawback of original algorithm that greatly improve the efficiency and speed.