| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 562755 | Signal Processing | 2012 | 8 Pages |
Abstract
Digital images are easily corrupted by noise during transmission. This paper presents a robust method for restoring embedded image from corrupted stego image. We firstly identify unreliable bits of each pixel in the embedded image by detecting noise in the stego image. Secondly, we calculate the distortion value and credibility value of each pixel, and use them to determine corrupted pixels. For each corrupted pixel, we correct its value by adjusting the unreliable bits. Experimental results show that the proposed method can restore embedded image with good visual quality.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Xianquan Zhang, Tao Liang, Zhenjun Tang, Xuan Dai,