Abstract: At present, network transmission is an important component of image applications, such as online image retrieval, etc. However, the conventional image salient region detection methods based on uncompressed domain can not be directly applied to the compressed image. To solve the above problem, a new image saliency detection method based on DCT coefficients is presented. At first, luminance, color and texture features of the image blocks were extracted based on the coefficients that obtained from DCT transform. Then distribution of feature vectors was analyzed statistically, and partial feature vectors with lower frequency were replaced, and the global contrast of feature vectors was calculated based on the replacement results. Finally, the Gaussian coefficient matrices and the previous results were fused, thus the salient region detection task was finished. The simulation results demonstrate that the proposed method can obtain better saliency detection results and higher detection efficiency compared to existing method based on compressed domain.