广西师范大学学报（自然科学版）
廣西師範大學學報（自然科學版）
엄서사범대학학보（자연과학판）
JOURNAL OF GUANGXI NORMAL UNIVERSITY(NATURAL SCIENCE EDITION)
2007年
2期
190-193
,共4页
刘一均%柴毅%柏森%郭茂耘
劉一均%柴毅%柏森%郭茂耘
류일균%시의%백삼%곽무운
含密图像识别%掩密术%模式识别%DCT系数
含密圖像識彆%掩密術%模式識彆%DCT繫數
함밀도상식별%엄밀술%모식식별%DCT계수
stego-images recognition%steganography%pattern recognition%DCT coefficients
提出了一种基于DCT系数统计分布的含密图像(stego-images)和掩护图像(cover-images)的识别算法.实验表明:该算法能快速识别各种JPEG和BMP格式的基于变换域和空间域的含密图像和非含密图像,并且优于其他含密图像识别方法.
提齣瞭一種基于DCT繫數統計分佈的含密圖像(stego-images)和掩護圖像(cover-images)的識彆算法.實驗錶明:該算法能快速識彆各種JPEG和BMP格式的基于變換域和空間域的含密圖像和非含密圖像,併且優于其他含密圖像識彆方法.
제출료일충기우DCT계수통계분포적함밀도상(stego-images)화엄호도상(cover-images)적식별산법.실험표명:해산법능쾌속식별각충JPEG화BMP격식적기우변환역화공간역적함밀도상화비함밀도상,병차우우기타함밀도상식별방법.
A fast and effective stego-images recognition method based on statistical distributions of DCT coefficients is proposed.The approach can distinguish stego-image and cover-image.The method is tested on a diverse set of test images that include both raw and processed images in the JPEG and BMP formats.Experiment results show the superiority of our approach over other stego-images recognition techniques.
