High Capacity Data Hiding in JPEG-Compressed Images

Authors:
Hsien-Wen Tseng;Chin-Chen Chang
Affiliations:
Department of Computer Science and Information Engineering, National Chung Cheng University, Chaiyi, Taiwan 621, R.O.C., e-mail: {hwtseng,ccc}@cs.ccu.edu.tw;Department of Computer Science and Information Engineering, National Chung Cheng University, Chaiyi, Taiwan 621, R.O.C., e-mail: {hwtseng,ccc}@cs.ccu.edu.tw
Venue:
Informatica
Year:
2004

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Abstract

The JPEG image is the most popular file format in relation todigital images. However, up to the present time, there seems tohave been very few data hiding techniques taking the JPEG imageinto account. In this paper, we shall propose a novel high capacitydata hiding method based on JPEG. The proposed method employs acapacity table to estimate the number of bits that can be hidden ineach DCT component so that significant distortions in thestego-image can be avoided. The capacity table is derived from theJPEG default quantization table and the Human Visual System (HVS).Then, the adaptive least-significant bit (LSB) substitutiontechnique is employed to process each quantized DCT coefficient.The proposed data hiding method enables us to control the level ofembedding capacity by using a capacity factor. According to ourexperimental results, our new scheme can achieve an impressivelyhigh embedding capacity of around 20% of the compressed image sizewith little noticeable degradation of image quality.