依据总体变分(TV)模型修复图像的特征,提出了一种新型有效的图像编码方法。在图像的编码端,先提取图像的边缘信息,再利用数学形态学对图像中较大平滑区域进行形状滤波分割,要求压缩编码的区域仅是边缘扩展的邻域和分割出的目标区域,从而大大减少了需要编码的信息量。在图像的解码端,采用总体变分模型对编码后的图像进行修复解码。实验结果表明,在较少编码信息量的情况下,能得到很好的重建视觉效果。
A new scheme of image coding based on Total Varitiona(lTV) inpainting model is proposed.In image encoding, extracted image edge,then the large of smooth region is shape filter segmentation by mathematical morphology.Edge extension image and the part of target partition pixels are only encoded so that required information for encoding is greatly reduced.In decoding,a TV inpainting model is applied to reconstruct the image.The experimental results show that with this scheme,it can get a good quality of reconstructed image in the condition of less image information.