漆画图像细节纹理自适应滤噪技术仿真

Lacquer Painting Image Detail Texture Adaptive Filter Noise Simulation

探究一种图像细节纹理自适应滤噪的有效方法,可以降低漆画图像失真度,降低噪声信号,去除噪声,增强漆画图像的清晰度,具备一定的使用价值。针对当前方法在对漆画纹理图像进行滤噪时,由于噪声信号强度较高导致图像出现信息丢失率较高,失真度较高,呈现的图像效果较差等问题,提出一种基于多尺度分解的细节纹理图像自适应滤噪方法。上述方法是通过自适应中值滤波器原理对漆画图像纹理细节中的噪声进行两次检测,并对窗口噪音大小进行阈值计算,得到漆画细节纹理图像的噪点;利用多尺度分解方法对漆画细节纹理图像噪点进行多尺度连续分解,通过对小尺度上的细节纹理进行去噪,得到滤噪后的漆画细节纹理图像。仿真结果证明,所提方法可以提高峰值信噪比、减小标准误差、抑制噪音信号强度,增强滤噪效果。

To research an effective method for adaptively filtering noise of image detail texture can reduce the distortion of lacquer painting image,remove noise and enhance the clarity of lacquer painting images,which has a certain value in use.Therefore,this article focuses on a method to adaptively filter noise of image detail texture based on multi-scale decomposition.The above method used the principle of adaptive median filter to detect noise in texture details of lacquer painting image twice.Meanwhile,the method calculated the threshold of window noise to obtain the hot pixel in detailed texture of lacquer painting image.In addition,our method used multi-scale decomposition method to conduct the multi-scale continuous decomposition on hot pixel in detailed texture of lacquer painting image.Through the noise reduction of detail texture at small scale,we could obtain the detail texture image of lacquer painting after noise filtering.Simulation results show that the proposed method can improve the peak signal-to-noise ratio and reduce the standard error.Meanwhile,this method can suppress the noise signal and enhance the noise filtering effect.