Abstract
In this work, a blurred detail enhancement algorithm is proposed to improve the feature recognition ability of motion video image based on computer network. The edge contour features of motion video images are decomposed using multi-scale Retinex algorithm, and the image recognition technology based on computer network is used to simulate the human visual features to enhance and repair the overlay or blurred features contained in the images. The feature extraction and feature focusing of blurred detail of motion video image are realized by computer vision template feature matching method, respectively. On this basis, the enhancement effect of blurred detail image is achieved. The proposed method is proved to be able to can improve the output peak signal to noise ratio (PSNR) the blur detail quality, and the recognition ability of motion video images.
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