Research of image edge detection algorithm basedon wavelet transform

Traditional derivative operator with good timeliness but bad anti-jamming can only extract a certain scale of information from the image, while losing the other scales. Wavelet edge detection starts from multiscale. Under the big scale, image noise gets suppressed very well, and the dependability of edge recognition improves, but edge localization precision reduces. In view of the two characteristics, a new kind of algorithm with wavelet decomposition technique is proposed. According to the feature of the image, we strengthen these coefficients moderately, then to the processed image, Laplacian edge detection is carried out. Furthermore, we analyze the result of the experiment, which proves that the algorithm proposed in this paper is efficient on edge precision, detail edge detection and restraining noise.