Digital watermarking is an important way to ensure the copyright protection of Thangka element images in Tibetan culture. These images exhibit rich foreground content and dense lines. However, existing digital watermarking methods often overlook these characteristics and employ a single watermark embedding strength that compromises performance. To address these issues, this paper proposes a robust Just Noticeable Distortion (JND) guided perceptually Thangka digital watermarking method. First, by considering the characteristics of texture distribution, it selectively identifies local regions of interest for large and small Thangka element images. Second, it constructs a visual perception JND to adaptively obtain the watermark embedding intensity. Finally, to enhance the robustness to JPEG compression and geometric attacks, it introduces a compression regulator factor and employs a Speeded-Up Robust Features feature matching algorithm. The experimental results show that the method achieves better performance compared with several classical methods in terms of imperceptibility and robustness.