By J.C. Catford
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5, the quality of the pictures watermarked using the improved method was consistently judged to be better than that of those watermarked using the original method, except for Whale at a strength of 6. For most of the quality levels evaluated, the improved method enabled the watermark strength to be increased while maintaining picture quality. 4 shows the watermarking strengths of the original and improved methods at a quality level of 4 (perceptible but not annoying). It shows that the watermark strength could be increased by 81% for Walk, 29% for Leaves, and 14% for Whale without degrading quality.
Yamauchi et al. proposed an image inpainting method that ﬁlls colors into a missing region and also considers the texture and structure of the mission region . ’s method translates the image from the spatial domain into the frequency domain using discrete cosine transform (DCT). -S. Pan et al. ): Information Hiding and Applications, SCI 227, pp. 47–61. -C. -C. Chang For high frequency bands, multi-level texture synthesis is applied; for low frequency bands, diﬀusion is used. ’s method. Video inpainting is more diﬃcult than image inpainting because video inpainting considers two or more frames with the same or diﬀerent backgrounds.
After the secret data have been extracted, the original image can be restored. In this Chapter, an object data preserving framework is proposed to embed objects into video frames. Object segmentation and data embedding are two main components in the proposed framework. Any suitable object segmentation method can be applied to segment the objects, which are denoted as the interested objects. A suitable object segmentation method means that the interested object can be segmented by a user or an automatic segmentation algorithm; the object data are then embedded into frames of video.