A Study on Information Hiding in Images by Color Filter Array Demosaicing

碩士 === 國立高雄第一科技大學 === 電腦與通訊工程所 === 97 === Following the progressing of information technology, digital camera has been used in different fields generally. Digitization and development of Internet makes the Internet has transmission conveniently, also it makes data transfer much more easily. Despite...

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Bibliographic Details
Main Authors: Ming-Hsiung Hsu, 許明雄
Other Authors: Da-Chun Wu
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/32830226904251822805
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Summary:碩士 === 國立高雄第一科技大學 === 電腦與通訊工程所 === 97 === Following the progressing of information technology, digital camera has been used in different fields generally. Digitization and development of Internet makes the Internet has transmission conveniently, also it makes data transfer much more easily. Despite of this, the situation causes many digital mediums having property disputation. Therefore, how to protect the authenticity of digital image will be one of the important topics. Normal information hiding technology comes from image, and then uses software to embed data. Comparing with it, there are not many literatures discussion about digital camera inner image embedded into data. Base on this concept, this paper uses the inner demosaicing technology of camera to propose two information-hiding methods: Firstly, having tamper detection ability of information hiding technology. This method uses evaluation of differences of two colors filter array interpolations to code messages in order to reach the purpose that one of the values from two interpolations embedded into the information. The tamper detection can be done when the image of CFA data embedded as authentication code. Secondly, recover the cover image to the original image without any loss of using image difference histogram moving combine with demosaicing method to adjust the color value of pixels, It adjusts shifting the color values of pixels that between a zero point and an embedding point in the difference histogram, and then embed the data into the pixels for color difference value of the embedding point. This method not only can be used on image hiding information, but also can extract the data from a stego-image and recover the cover image to the original without any loss. Through this experiment we know those methods that proposed in this paper are feasible and effective.