基于小波的平面设计图像处理技术研究

Research on wavelet-based image processing technology for graphic design

针对平面设计中对于图像去噪质量要求日益增高的问题,文中提出基于小波的平面设计图像处理技术方案。在二维图像建模的基础上,利用离散小波的方法对图像进行变换,改进小波系数阈值设计并进行量化。为进一步提高图像去噪与恢复的质量,文中还设计基于小波分解尺度的自适应阈值设置方法,可以有效地自适应调节阈值以保留有效信息。仿真验证与数据分析结果表明,文中所设计的算法相比于现有算法可以更好地对图像进行去噪与恢复,自适应阈值可以有效提高图像恢复质量。

As the requirement of image de-noising quality in graphic design is increasingly severe,a scheme of the wavelet based image processing technology for graphic design is proposed.On the basis of two-dimensional image modeling,the discrete wavelet method is used to transform the image,and improve and quantify the wavelet coefficient threshold design.An adaptive threshold setting method based on wavelet decomposition scale is also designed to further improve the quality of image denoising and restoration,which can effectively perform adaptive adjustment of the threshold to retain the effective information.The results of simulation verification and data analysis show that the algorithm designed in this paper can do the image denoising and restoration better than those that the existing algorithm can do,and the adaptive threshold can effectively improve the quality of image restoration.