Tamper detection and image recovery for BTC-compressed images
To ensure the integrity of images compressed using block truncation coding (BTC), a tamper detection and image recovery scheme is proposed in this paper. In this scheme, the size of the authentication data can be adaptively selected according to the user’s requirement. The authentication data is embedded in the value differences of the quantization levels in each BTC-compressed image block. Multiple copies of the recovery data are embedded into the bit maps of the smooth blocks. Experimental results show that the proposed scheme performs well in terms of detection precision and the embedded image quality. Meanwhile, the tampered areas can be roughly recovered by using the proposed scheme.
KeywordsTamper detection Image recovery Block truncation coding Image authentication Fragile watermarking
This research was supported by Providence University, Taichung, Taiwan under contract the National Science Council, Taipei, R.O.C. under contract MOST 103-2410-H-126-009-MY3 and MOST-103-2632-E-126-001MY3.
- 4.Chuang JC, Hu YC, Lo CC, Chen WL (2013) Grayscale image tamper detection and recovery based on vector quantization. Int J Secur Appl 7(6):209–228Google Scholar
- 9.Hu YC, Lo CC, Wu CM, Chen WL, Wen CH (2013) Probability-based tamper detection scheme for BTC-compressed images based on quantization levels modification. Int J Secur Appl 7(3):11–32Google Scholar
- 21.Wu CM, Hu YC, Liu KY, Chuang JC (2014) A novel active image authentication scheme for block truncation coding. Int J Signal Process Image Process Pattern Recogn 7(5):13–26Google Scholar
- 22.Yang Q, Peng F, Li JT, Long M Image tamper detection based on noise estimation and lacunarity texture. Multimedia Tools and Applications. doi: 10.1007/s11042-015-3079-2