Title :
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
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;
Conference_Titel :
Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-0-7695-3699-6
DOI :
10.1109/APCIP.2009.155