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Image steganography is one way of data hiding which provides data security in digital images. The aim is to embed and deliver secret data in digital images without any suspiciousness. However, most of the existing optical image hiding methods ignore the visual quality of the stego-image for improving the robustness of the secret image. To address this issue, in this paper, we present a Region of Non-Interest (RONI) steganographic algorithm to enhance the visual quality of the stego-image. In the proposed method, the carrier image is segmented into Region of Interest (ROI) and RONI. To enhance the visual quality, the 3D image information is embedded into the RONI of the digital images. In order to find appropriate regions for embedding, we use a visual attention model as a means of measuring the ROI of the digital images. The algorithm employs the computational integral imaging (CII) technique to hide the 3D scene in the carrier image. Comparison results show that the proposed technique performs better than some existing state of art techniques.
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