Publisher Correction: A novel zero-watermarking algorithm based on robust statistical features for natural images (The Visual Computer, (2022), 38, 9-10, (3175-3188), 10.1007/s00371-022-02544-9)

The publication of this article unfortunately contained mistakes. The following text should not be included in the figure legend of figure 3 but below the heading "5 Experimental results": In this section, we first discuss the image and parameter selection as well as the metrics used to evaluate the performance of the watermarking algorithms. Then, plenty of the experiments under various attacks are shown to validate the robustness of the algorithm. Afterwards, we analyze the distinguishability of the algorithm. Finally, we compare our algorithm with the SOTA embedding-based watermarking algorithms and zero-watermarking algorithms to further demonstrate the advantages of the proposed algorithm. All the experiments are performed on MATLAB R2018b 64bit on a Laptop with the Intel Core i5-6200U CPU@2.30 GHz and 4.0 GB of RAM. In the experiments, the host images with the size of 512 × 512 and the watermark images with the size of 32 × 32 are shown in Fig. 3. The original article has been updated.