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该文提出了基于SPHIT编码的图像自恢复脆弱水印算法,它利用零树结构对自身图像进行压缩编码,得到自相关的水印数据,大大减少嵌入水印的数据量,再对水印数据进行BCH编码,得到的监督信息和水印信息进行置乱后再嵌入,嵌入水印数据的认证图像像素的灰度值的无序化,有利于增强恢复功能.水印嵌入到图像灰度位平面编码的低两位,使嵌入水印图像达到了良好的视觉效果.该算法既能对篡改图像的恶意操作具有很强的识别能力,又可以恢复出被篡改位置的真实图像内容,是一种真正的盲检测算法.“,”A fragile watermark algorithm is proposed,based on embed SPHIT,which can recover the primary image itself. Utilizing the zerotree structure,the algorithm compresses and encodes the image itself,and then gained self-correlative watermark data,so as to greatly reduce the quantity of embedding watermark. Then the watermark data is encoded by BCH,and the check bits and watermark bits are scrambled and embedded,the disordering by the gray level values of authentication image pixel before embed watermark data can be propitious to enhance the recovery ability. At the same time,by embedding watermark into the latter two bit place of gray level image's bit-plane code,the image after embedded watermark can gain nicer visual effect. For the purposive operation of juggle image the algorithm has good ability for identify and self-recovery,it's a real blind detection algorithm.