Tamper Detection and Self-Recovery of Image Based on Self-Embedding

Author

Qiang, Song ; Jiawen, Wang ; Hongbin, Zhang

Author_Institution

Coll. of Comput. Sci., Beijing Univ. of Technol., Beijing, China

Volume

2

fYear

2009

fDate

18-19 July 2009

Firstpage

76

Lastpage

79

Abstract

This paper presents a novel image watermarking scheme for both tamper detection and tampered image recovery. The basic principle of this scheme is to compress per block of the original image using SPIHT (Set Partitioning in Hierarchical Trees), then scramble and embed the bit stream into LSBs (Least Significant Bit) of corresponding offset block. Experimental results show that the proposed scheme can detect and locate tamper accurately, and recover tampered block data with satisfied image visual quality.

Keywords

trees (mathematics); watermarking; bit stream; image watermarking; least significant bit; offset block; self-embedding; self-recovery; set partitioning in hierarchical trees; tamper detection; tampered image recovery; Authentication; Computer science; Discrete cosine transforms; Educational institutions; Forgery; Image coding; Information processing; Intellectual property; Streaming media; Watermarking; digital watermarking; image authentication; self-embedding; self-recovery; tamper detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on

Conference_Location

Shenzhen

Print_ISBN

978-0-7695-3699-6

Type

conf

DOI

10.1109/APCIP.2009.155

Filename

5197140