Images are affected by noise during their acquisition and transmission. Therefore, the denoising process is necessary to achieve higher quality images. However, both edges of the image and noise are characterized by high frequencies, loss of edge information may become unavoidable as a result of the denoising process. Thus, recovered, denoised images, become blurrier or less denoised. Therefore, a wavelet threshold denoising technique, based on edge detection, can be used to preserve more edge information and enhance the quality of the denoised image. In this paper, a novel image denoising method, based on wavelet thresholding by using Otsu's threshold, has been proposed and the clarity of the image which has been handled with this method is superior to that currently achieved by the other wavelet thresholds. The obtained results show that the proposed method, in this paper, provides better performance compared to commonly used wavelet image threshold denoising methods in terms of the visual quality of the denoised image. In addition, when the edge detection and denoising processes are combined, the deficiencies of the commonly used denoising methods are eliminated and a better denoising effect has been achieved.