Data hiding method using image interpolation

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Presentation transcript:

Data hiding method using image interpolation Source: Computer Standards & Interfaces, Vol. 31, Issue 2, Feb. 2009, pp. 465-470 Author: Ki-Hyun Jung and Kee-Young Yoo Speaker: Hong-Hang Chang Date: 2010/ 07/ 13 2019/5/5

Outline Introduction Related Works Proposed Method Experiment Results Conclusions 2019/5/5

Introduction Interpolation (Scaling- up) Scaling- Down Original Image Cover Image Input Image Embedding Secret Data Cover Image & Extracting Secret Data Stego- Image 2019/5/5

Related Works The nearest neighbor method 72 45 83 94 78 45 45 ? Interpolation 122 ? 72 45 83 94 122 37 2019/5/5

Related Works (Cont.) Bilinear interpolation 78 55 ? 45 60 ? 122 ? 65 37 2019/5/5

Proposed Method Neighbor Mean Interpolation (NMI) Original Image 46 25 82 53 Original Image Neighbor Mean Interpolation (NMI) 46 25 82 53 Scaling- Up 512 256 256 512 (46+25)/2 Original Image Scaling- Down Input Image (46+82)/2 Interpolation 512 46 25 82 53 256 46 35 25 46 57 25 43 91 75 82 64 53 64 48 82 53 512 (46+35+64)/3 2019/5/5 Original Image Input Image Cover Image

Proposed Method (Cont.) Embedding difference 46 25 82 53 35 64 48 Cover Image Embedding Path 46 25 82 53 38 70 49 Stego-Image Secret Bits 0 1 1 0 1 1 0 1 … Per 4 pixel, embedding 3 secret streams 2019/5/5

Proposed Method (Cont.) Extracting 46 25 82 53 38 70 49 Stego-Image Reconstructing 46 25 82 53 35 64 48 Cover Image 2019/5/5

Experiment Result 2019/5/5

Conclusions The proposed scaling- up neighbor mean interpolation method has a low-time complexity and high- calculating speed. The proposed method can embed a large amount of secret data while keeping a very high visual quality. 2019/5/5