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The Influence of Quantization Table in view of Information Hiding Techniques Modifying Coefficients in Frequency Domain  

Choi, Yong-Soo (Graduate School of Information Management & Security, Korea University)
Kim, Hyoung-Joong (Department of Computer Engineering, ChungJu University)
Park, Chun-Myoung (Graduate School of Information Management & Security, Korea University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.46, no.1, 2009 , pp. 56-63 More about this Journal
Abstract
Nowdays, Most of Internet Contents delivered as a compressed file. It gives many advantages like deduction of communication bandwidth and transmission time etc. In case of JPEG Compression, Quantization is the most important procedure which accomplish the compression. In general signal processing, Quantization is the process which converts continuous analog signal to discrete digital signal. As you known already, Quantization over JPEG compression is to reduce magnitude of pixel value in spatial domain or coefficient in frequency domain. A lot of Data Hiding algorithms also developed to applicable for those compressed files. In this paper, we are going to unveil the influence of quantization table which used in the process of JPEG compression. Even thought most of algorithm modify frequency coefficients with considering image quality, they are ignoring the influence of quantization factor corresponding with the modified frequency coefficient. If existing algorithm adapt this result, they can easily evaluate their performances.
Keywords
Quantization; Information Hiding; PSNR; Image Degradation; Steganography;
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