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Algorithm for the detection of a low complexity contrast enhanced image source
Authors:WANG Junxiang  HUANG Lin  ZHANG Ying  NI Jiangqun  LIN Lang
Affiliation:1. School of Mechanical and Electrical Engineering,Jingdezhen Ceramic Institute,Jingdezhen 333403,China;2. School of Data Science and Computer science,Sun Yat-sen University,Guangzhou,510006,China;3. Southeast Digital Economic Development Institute,Quzhou,324000,China
Abstract:With the rapid development of multimedia techniques,enhanced images,such as mobile phone pictures,are widely used due to its good visual quality,In general,conventional image enhancement algorithms include histogram equalization,gamma correction,and so on.Recently,a new reversible data hiding algorithm with the content enhancement function (denoted as RDH_CE) is proposed,which could achieve identical visual enhancement quality as conventional enhancement algorithms do when a certain amount of secret data is embedded.It is easy to have some security risk when one enhanced image with some suspicious code embedded in it is utilized.Therefore,an effective algorithm for identifying some suspicious RDH_CE and other regular ones (i.e.,histogram equalization and gamma correction) is proposed in this paper.By analyzing their implementation process,four features are designed and then SVM is employed to identify their source.Experimental results indicate that the proposed scheme can achieve a better performance compared with other state-of-art algorithms in terms of the accuracy and stability.
Keywords:image analysis  image recognition  machine learning  image enhancement  reversible data hiding  support vector machine (SVM)  image analysis  image recognition  machine learning  image enhancement  reversible data hiding  support vector machine (SVM)  
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