基于对立色与显著区域的紧凑图像哈希算法

Compact Image Hashing Algorithm Based on Opposite Color and Salient Region

为了有效利用图像的颜色与局部信息提高算法识别能力,提出了一种基于颜色信息与显著区域的紧凑图像哈希算法.首先对输入图像进行预处理,然后提取图像的颜色对立色与亮度分量,并从颜色对立色中获取颜色特征,进而对亮度分量按照视觉注意力权重矩阵提取图像显著区域的稳健特征,最后将所有特征联合起来并扰乱得到最终的哈希序列.实验结果表明,所提算法与已有的哈希算法对比具有更好的图像分类性能、较短的哈希长度和较少的运算时间.同时,在篡改检测上具有较好的识别能力.

In order to improve the recognition ability of algorithms by utilizing the color and local information of the image effectively,this paper proposes an image hashing algorithm based on color information and salient region.By reprocessing the input image,the proposed algorithm first obtains the color opponents’components and brightness components from the image.Then extracts the color features from the color opposition and the robust features of the salient areas from the image according to the visual attention weight matrix.Finally,the algorithm generates the final hashby combining and scrambling all these features.Experimental results show that the proposed algorithm performs with better image classification,shorter hash length and less computing time than the existing hash algorithms.Meanwhile,it also performs a good recognition ability in tampering detection application.