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This paper presents a novel content-based hidden transmission method for secret data to improve the security and secrecy. In the proposed method, the secret data is encrypted by chaotic map before embedding. Then the cover image is segmented by watershed algorithm and fuzzy c-means clustering. At last we extract the feature of each region and embed the secret data into the cover image according to the result of feature extraction. Our method can overcome the disadvantage of blockbased steganographic techniques. Experimental results show that the security and performance of the proposed scheme are high.

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Image mosaicing constructs a wide field-of-view result from multiple source frames. In order to ensure a perceptually correct result, mosaicing typically requires either a planar or near-planar scene, parallax-free camera motion between source frames, or a dense sampling of the scene. When these conditions are not satisfied, various artifacts may result. A novel mosaicing approach is introduced that overcomes these limitations, building on the techniques of image-based rendering and manifold mosaicing, while permitting the synthesis of an effective mosaic of a non-planar scene from a sparse set of translated cameras. Our method first generates a series of intermediate virtual frames to reduce the disparities between neighboring images. Next, a series of vertical slices are chosen from the array of both real and virtual frames and connected according to a cost function that maximizes the similarity between adjacent slices. Experimental results indicate significant improvements over competing methods.