计算机小波去噪图像处理技术与算法
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摘要
人们获得信息的主要来源就是视觉,图像是信息的重要载体。在获取和传输图像过程中,易受到无关噪声污染,使得图像的部分重要特征无法被有效识别,去除图像噪声成为人们努力达到的目标。基于此,笔者对计算机小波去噪图像处理技术进行分析,对其去噪算法进行研究,以使图像达到更好的视觉效果。
The main source of information is vision, and image is an important carrier of information. In the process of obtaining and transmitting images, it is easy to be contaminated by unrelated noise, which makes some important features of the image unable to be effectively identified. The removal of image noise has become the goal that people strive to achieve. Based on this, the author analyzes the image processing technology of the computer wavelet de-noising image, and studies its denoising algorithm to make the image achieve a better visual effect.
The main source of information is vision, and image is an important carrier of information. In the process of obtaining and transmitting images, it is easy to be contaminated by unrelated noise, which makes some important features of the image unable to be effectively identified. The removal of image noise has become the goal that people strive to achieve. Based on this, the author analyzes the image processing technology of the computer wavelet de-noising image, and studies its denoising algorithm to make the image achieve a better visual effect.
引文
[1]张洋.基于小波分解的计算机图像去噪算法[J].电子科技,2016,29(8):103-105.
[2]任凯琦,代合鹏,郑箘,等.多重自适应提升小波去噪在计算机视频截获中的应用[J].计算机与现代化,2016,17(10):40-43.
[2]任凯琦,代合鹏,郑箘,等.多重自适应提升小波去噪在计算机视频截获中的应用[J].计算机与现代化,2016,17(10):40-43.