To resolve the problem that the traditional de-noise methods will blur the detail of image, this paper introduces a new method to de-noise the image noise in low light.
针对传统去噪方法会导致图像细节模糊的问题,提出一种低照度条件下的图像自动降色去噪方法。
Due to the good localization feature of the wavelet transform both in time plane and in frequency plane, a wavelet-based de-noise method is presented for extracting EPs in single trails.
由于小波变换在时域和频域上都具有良好的局部化特性,基于小波变换的去噪方法,可以达到从单次样本中提取视觉诱发电位的目的。
This paper analyzed the characteristic of noise in hyperspectral data deeply, and puts forward a de-noising method based on stationary discrete wavelet transform (SDWT).
文章深入分析了高光谱遥感数据中噪声的特点,提出了一种基于平稳小波变换的改进小波滤噪算法。
应用推荐