基于DCT块特征与背景先验的JPEG图像显著性检测算法

提出一种新颖的基于最短路径的JPEG图像显著性检测算法.算法在JPEG图像的DCT系数块中直接提取出灰度、纹理和颜色3种低层次图像特征;然后,通过计算其内部块到达图像边界的最短路径来得到最终显著性值;最后,在公开测试集MSRA-1000上与多种图像显著性检测算法进行对比.实验结果显示,方法在4种不同的评测标准上都优于对照算法,并且能够快速、高效地产生令人满意的显著性图.

DCT block feature based saliency detection in JPEG image with background prior

Most of existing saliency detection algorithms are dealing with uncompressed images, while numerous images are distributed and stored in JPEG format over Internet. Thus, this paper proposes a novel image saliency detection method dealing with JPEG images, which directly extracts 3 image low-level features (intensity, texture and color) from JPEG DCT blocks and then evaluates image saliency by calculating the shortest path from each internal point to the background. We compare our method with some state-of-the-art methods on the publicly available datasets MSRA-1000. Experimental results show that our method exhibits better performance in terms of four evaluations han some state-of-the-art methods. The final saliency maps indicate that our method can also produce satisfied saliency maps directly in compressed domain.