Restoration of embedded image from corrupted stego image

  • Authors:
  • Xianquan Zhang;Tao Liang;Zhenjun Tang;Xuan Dai

  • Affiliations:
  • Department of Computer Science, Guangxi Normal University, No.15 Yucai Road, Guilin 541004, PR China;Department of Computer Science, Guangxi Normal University, No.15 Yucai Road, Guilin 541004, PR China;Department of Computer Science, Guangxi Normal University, No.15 Yucai Road, Guilin 541004, PR China;Department of Computer Science, Guangxi Normal University, No.15 Yucai Road, Guilin 541004, PR China

  • Venue:
  • Signal Processing
  • Year:
  • 2012

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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.