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The super-resolution reconstruction is an important method for improving the image quality, and the objective world can be better understood from 3D super-resolution model than from 2D images. In this paper, the image super-resolution reconstruction algorithm based on wavelet and the 3D geometric modeling technology were combined to study the 3D super-resolution reconstruction of images. Firstly,...
The super-resolution reconstruction is an important method for improving the image quality, which possesses widely application in the fields of video monitoring, remote sensing imaging, medical image processing, etc. In this paper, firstly, the salient edges and the boundaries of salient objects were obtained by using the salient characteristics of visual attention based on computer visual model and...
Image super-resolution reconstruction was an important task in the field of image enhancement and image restoration. In this paper, a new super-resolution reconstruction method which based on wavelet analysis and sub-pixel interpolation was proposed by using wavelet edge detection and polynomial subdivision location. The simulation results showed that the boundary of reconstructed high-resolution...
Video face recognition has become one of the most active research direction in the field of face recognition. In this paper, the influence of the illumination and the posture was analyzed and the corresponding solution was designed. Through the combined face recognition algorithm of global features and local features based on the wavelet analysis, as well as the Hidden Markov model using as the post-processing,...
There are some problems in the video identity recognition, such as low efficiency of data processing and instability of the identification performance. This paper designs specific links and the corresponding processes for the interested character recognition and scene tracking, which are including the construction of adaptive segmentation, video face flexible recognition, feature library model, optimizing...
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