Abstract
As a carrier of information, image analysis and processing are indispensable in the construction of smart cities. For example, object detection, tracking and recognition in the study of automatic driving all rely on external input images. Therefore, high-quality images play an important role in the era of intelligence, and the study of image enhancement has very high practical significance. In this paper, the convolutional neural network is designed for feature extraction to achieve fuzzy image enhancement, and the image enhancement research system is designed based on openCV and Qt.
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