Research on image correction method of network education assignment based on wavelet transform

Abstract

The network assignment image not only has a sharpness problem in the system audit but also the image angle deviates from the normal angle. Based on this, this study is based on image processing technology, using wavelet transform as the basic algorithm to process the image images collected by the network education system. At the same time, this study extracts the image content by wavelet transform in image edge recognition and enhances the image to enhance the image clarity. For the problem of image tilt, this study proposes a method of detecting the edge of the image with wavelet transform and then performing image tilt correction with Hough transform. In addition, this study compared the performance of the image correction method of this research and the traditional image method through experimental verification. Through comparative analysis, we can know that the performance of this research algorithm is better, and it can provide theoretical reference for subsequent related research.