适用于地毯编织图像处理的误差扩散改进算法

常规误差扩散方法会导致图像细节轮廓损失问题,为满足地毯编织图像处理中对图像细节处理的要求,本文提出一种基于HVS模型及边缘检测的像素点误差扩散半色调算法。该算法首先对图像进行边缘检测处理,提取图像的边缘点信息,然后采用基于HVS模型误差扩散系数对图像进行误差扩散处理,处理过程中对于边缘点不进行误差叠加,以保留图像边缘信息。仿真结果表明该算法能够更好地减少图像细节损失,保留图像细节信息,进而满足地毯编织图像处理的需要。

An Improved Error Diffusion Methods In image Processing of Carpet Intertexture

The conventional error diffusion methods lead to the loss of image detail contour.And carpet intertexture needs an image processing with more image detail contour.A pixel error diffusion methods based on HVS model and edge detection is proposed to solve the problem,in which the image edge points is detected firstly,and then do the error diffusion process with the error diffusion coefficient based on HVS model.In the process we don't accumulate the error of the edge points to keep the image detail contour information.Simulation shows that the method would better to decrease the loss of image detail contour,and adapt to the need of carpet intertexture.