An Improved Denoising Method of Structured Light Image Based on Wavelet Transform

The structured light stripe images are usually subjected to a lot of noise interference, which will affect the analysis of the image, such as: the center of light stripe extraction and edge detection. In this paper, a denoising method using adaptive median filter and improved wavelet reconstruction is proposed, which is on basis of the analysis of the noise of structured light stripe images and characteristics of the two methods. The proposed method is used to denoise the structured light stripe image, and the results are compared with the traditional wavelet soft threshold denoising method and any another denoising methods. The objective evaluation results show that the denoising method proposed in this paper has better denoising effect on structured light stripe images.