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Efficient Color Information Hiding in Grey-Level Images Using Data Hiding Techniques

This paper presents a novel method for embedding color information into grey-level images while ensuring that only authorized key holders can access the original color content. The proposed approach consists of three main steps: color quantization using K-mean clustering, color ordering, and a spatial data hiding method based on the least significant bit (LSB) technique. Results demonstrate the effectiveness of the method on various images, showcasing the stego-images and their recovered counterparts, yielding high peak signal-to-noise ratios (PSNR) and preserving visual fidelity.

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Efficient Color Information Hiding in Grey-Level Images Using Data Hiding Techniques

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  1. A Color Image Hidden In a Grey-Level Image IS&T Third European Conference onColour in Graphics,Imaging, and Vision, CGIV’2006,pp. 226–231, (Leeds, UK), June 2006. Reporter：Cheng Hsu Date：2009/11/06

  2. Outline • Introduction • The proposed method • Color quantization • Layer running • Spatial data hiding method • Results • Conclusion

  3. Introductions • A grey-level image is freely accessible but only secret key owners may rebuild the color image. • Our aim is thus to protect the color information by embedding this information in the grey level image. • The proposed method is made of three major steps • Color quantization • Ordering • Data hiding

  4. Color quantization • Find the K-colors • K-mean clustering algorithm. random find min(dist)

  5. Layer running • Choosing the closer color from the current one. • Layer running algorithm.

  6. A view of the layer running in the RGB cube.

  7. Spatial data hiding method – LSB • Get a marked pixel

  8. Results • Application of the layer running algorithm on the baboon image: (d) stego-image image (a) Original color image (b) Color palette after color ordering (c) index image (e) Recover image

  9. Application of the layer running algorithm on the airplane image: (d) stego-image image (a) Original color image (b) Color palette after color ordering (c) index image (e) Recover image

  10. PSNR comparisions

  11. Conclusions • Proposed a method to hide the color information in a grey-level image • three major steps • color quantization • the color ordering • the data hiding • The results obtained show good performances

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