Images tamper self-detection and self-recovery Using Spiht Technique

Ji Hong Chen, Wen Yuan Chen, Chin-Hsing Chen

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


This paper presents a high quality image recovery technique as a highly efficient means for image tamper detection and recovery. A region of importance (ROI) in an image is firstly compressed by a set partitioning in hierarchical tree (SPIHT) technique and then embedded into a host image. In this way, the aim of self-detection and selfrecovery for a tampered image can be achieved without extra information. Higher levels of security and secrecy are reached by embedding the image data into the discrete cosine transform (DCT) frequency domain through a nested structure technique. Accordingly, a high quality recovered image is ensured. This proposal is experimentally demonstrated to provide two clear advantages, that is, 1) the aim of a high quality and highly efficient image recovery from a tempered region is reached through an ROI image compression by an SPIHT technique, and 2) a higher level of security is achieved by use of a nested embedding structure. The proposed scheme can be applied to anti-counterfeiting for archives, digital right management, protection of crime scene photos, etc.

Original languageEnglish
Pages (from-to)3549-3560
Number of pages12
JournalInternational Journal of Innovative Computing, Information and Control
Issue number9
Publication statusPublished - 2013 Jul 17

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Computational Theory and Mathematics


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