To evaluate the visual quality in visual secret sharing schemes, most of the existing metrics fail to generate fair and\nuniform quality scores for tested reconstructed images. We propose a new approach to measure the visual quality of\nthe reconstructed image for visual secret sharing schemes. We developed an object detection method in the context\nof secret sharing, detecting outstanding local features and global object contour. The quality metric is constructed\nbased on the object detection-weight map. The effectiveness of the proposed quality metric is demonstrated by a\nseries of experiments. The experimental results show that our quality metric based on secret object detection\noutperforms existing metrics. Furthermore, it is straightforward to implement and can be applied to various\napplications such as performing the security test of the visual secret sharing process.
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