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A novel method for evaluation of visual security of images

Rapid growing of multimedia processing technologies enables many creative and powerful new applications. Due to the availability of multimedia reconstruction and editing tools, multimedia authentication gained a considerable attention. Some authentication is to be performed during the transmission of data via insecure networks. Data encryption is one of the frequently used method for secure data transmission. A great demand has arisen for checking the visual security of the encrypted images of low quality. None of the metrics perform well for low quality encrypted images. A novel visual security index (VSI) is used to measure the visual security of perceptually encrypted images of low quality. Here edge, texture and wavelet based frequency information of both plain and encrypted image is used. Initially the edge information is extracted using canny edge detector. Then, texture information is extracted using Grey Level Co-occurrence Matrix (GLCM). Finally, 2D DWT of both plain and encrypted image is calculated. The performance of the proposed method is evaluated using the parameters confidence, monotonicity and Root Mean Square Error (RMSE). The proposed method shows a stable and outstanding behavior.