CAJ | 학술논문

提出了一种二进小波图像的篡改检测算法，对待测图像进行二进小波图像分解，然后提取其每个图像分块的高低频子图特征值进行分析。为了使该算法能够在大量图像篡改检测过程中保证其检测率、错误率，使用基于灰色理论与马尔科夫链的融合模型对该算法的检测率、错误率进行预测，将预测值进行均值计算得到平均检测率与平均错误率。通过与文献算法比较检测率、错误率均值，证明了该算法在避免偶然的情况下，提高了检测率并降低了错误率。
제출료일충이진소파도상적찬개검측산법，대대측도상진행이진소파도상분해，연후제취기매개도상분괴적고저빈자도특정치진행분석。위료사해산법능구재대량도상찬개검측과정중보증기검측솔、착오솔，사용기우회색이론여마이과부련적융합모형대해산법적검측솔、착오솔진행예측，장예측치진행균치계산득도평균검측솔여평균착오솔。통과여문헌산법비교검측솔、착오솔균치，증명료해산법재피면우연적정황하，제고료검측솔병강저료착오솔。
A detection algorithm is put forward in dyadic wavelet image which made binary wavelet image de-composition with original image.The feature of each image block is extracted in high and low frequency and an-alyzed using edge processing.For the correctness during the tamper detection in a large number of images,a type of fusion model is put forward based on the grey theory and Markov chain to predict the binary image detec-tion rate and error rate of copy-paste tampering algorithm,to obtain the average success rate of the algorithm by computing the average value of the predicted value.Comparison of literature about the mean value of detection and error rate proves that in the condition of avoiding accidental circumstances,the algorithm can improve the detection rate and reduce the error rate.