ass日本风韵熟妇pics男人扒开女人屁屁桶到爽|扒开胸露出奶头亲吻视频|邻居少妇的诱惑|人人妻在线播放|日日摸夜夜摸狠狠摸婷婷|制服 丝袜 人妻|激情熟妇中文字幕|看黄色欧美特一级|日本av人妻系列|高潮对白av,丰满岳妇乱熟妇之荡,日本丰满熟妇乱又伦,日韩欧美一区二区三区在线

Micro-slice images collected under a microscope usually have both Gaussian noise and pepper and salt noise. Shannon-Cosine wavelet with interpolation, smoothness, compact support and normalization characteristics was used to construct multi-scale interpolation wavelet operators, and then a wavelet precise integration method for removing mixed noise in images was constructed. And the pepper and salt noise in the micro-slice image was directly eliminated by setting the sparse representation threshold;Shannon-Cosine wavelet sparse expressions of images were brought directly into the image noise reduction P-M model, and then this model was transformed into a system of nonlinear ordinary differential equations and solved it directly by using the precise integration method, which can achieve edge preservation and noise reduction, and eliminate Gaussian noise in the image. The experimental results showed that the proposed method can preserve various texture structures in locust slice images under the condition of satisfying the requirements of noise reduction. As the variance of Gaussian noise was increased from 0.02 to 0.10, the PSNR value of the denoised image was decreased by 11.67%, which was much lower than that of the other methods. This showed that the method proposed had strong robustness when processing locust slice images. When the image Shannon-Cosine wavelet sparse representation method proposed was used to describe the locust slice image, the number of characteristic pixels only accounted for about 10% of the total number of image pixels, which effectively reduced the scale of the problem and improved the solution efficiency.