VisCode: Embedding Information in Visualization Images using Encoder-Decoder Network
نویسندگان
چکیده
We present an approach called VisCode for embedding information into visualization images. This technology can implicitly embed data specified by the user a while ensuring that encoded image is not distorted. The framework based on deep neural network. propose to use images and QR codes as training design robust encoder-decoder designed model considers salient features of reduce explicit visual loss caused encoding. To further support large-scale encoding decoding, we consider characteristics saliency-based code layout algorithm. variety practical applications in context conduct comprehensive evaluation perceptual quality encoding, decoding success rate, anti-attack capability, time performance, etc. results demonstrate effectiveness VisCode.
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ژورنال
عنوان ژورنال: IEEE Transactions on Visualization and Computer Graphics
سال: 2021
ISSN: ['1077-2626', '2160-9306', '1941-0506']
DOI: https://doi.org/10.1109/tvcg.2020.3030343