In the field of reversible data hiding(RDH),designing a high-precision predictor to reduce the embedding distortion and developing an effective embedding strategy to minimize the distortion caused by embedding informa...In the field of reversible data hiding(RDH),designing a high-precision predictor to reduce the embedding distortion and developing an effective embedding strategy to minimize the distortion caused by embedding information are the two most critical aspects.In this paper,we propose a new RDH method,including a predictor based on a transformer and a novel embedding strategy with multiple embedding rules.In the predictor part,we first design a transformer-based predictor.Then,we propose an image division method to divide the image into four parts,which can use more pixels as context.Compared with other predictors,the transformer-based predictor can extend the range of pixels for prediction from neighboring pixels to global ones,making it more accurate in reducing the embedding distortion.In the embedding strategy part,we first propose a complexity measurement with pixels in the target blocks.Then,we develop an improved prediction error ordering rule.Finally,we provide an embedding strategy including multiple embedding rules for the first time.The proposed RDH method can effectively reduce the distortion and provide satisfactory results in improving the visual quality of data-hidden images,and experimental results show that the performance of our RDH method is leading the field.展开更多
A theoretical framework based on information and embeddedness is constructed to analyze the micro structure of the impact of heterogeneous social capital on corporate performance. It is empirically tested based on dat...A theoretical framework based on information and embeddedness is constructed to analyze the micro structure of the impact of heterogeneous social capital on corporate performance. It is empirically tested based on data collected from a sample of 155 Chinese firms. Results indicate that hierarchical social capital has a positive association with corporate market power but little impact on corporate operational efficiency. Furthermore, social capital can promote operational efficiency but contribute little to corporate market power. There is a complementary structure between the two types of heterogeneous social capital. The embedded inertia of social capital into institutional environment is negatively related with corporate performance. From the perspective of economic transition, firms in developed regions rely far more on hierarchical social capital to acquire market power than firms in developing areas.展开更多
基金Project supported by the National Natural Science Foundation of China(No.62172053)the National Key Research and Development Program of China(Nos.2021YFC3340701 and 2021YFC3340602)。
文摘In the field of reversible data hiding(RDH),designing a high-precision predictor to reduce the embedding distortion and developing an effective embedding strategy to minimize the distortion caused by embedding information are the two most critical aspects.In this paper,we propose a new RDH method,including a predictor based on a transformer and a novel embedding strategy with multiple embedding rules.In the predictor part,we first design a transformer-based predictor.Then,we propose an image division method to divide the image into four parts,which can use more pixels as context.Compared with other predictors,the transformer-based predictor can extend the range of pixels for prediction from neighboring pixels to global ones,making it more accurate in reducing the embedding distortion.In the embedding strategy part,we first propose a complexity measurement with pixels in the target blocks.Then,we develop an improved prediction error ordering rule.Finally,we provide an embedding strategy including multiple embedding rules for the first time.The proposed RDH method can effectively reduce the distortion and provide satisfactory results in improving the visual quality of data-hidden images,and experimental results show that the performance of our RDH method is leading the field.
基金This article is sponsored by the Chinese Postdoctoral Science Foundation （No. 200902008）, the Chinese Ministry of Education Humanity and Social Science Foundation （No. 10YJCZH127）, the Chinese Social Science Foundation （No. 11CJY004）, the Faculty Research Fund of Zhongnan University of Economics and Law （No. 31140910513）, and the Central University Young Scholar Research Foundation of Zhongnan University of Economics and Law （No. 2609076）.
文摘A theoretical framework based on information and embeddedness is constructed to analyze the micro structure of the impact of heterogeneous social capital on corporate performance. It is empirically tested based on data collected from a sample of 155 Chinese firms. Results indicate that hierarchical social capital has a positive association with corporate market power but little impact on corporate operational efficiency. Furthermore, social capital can promote operational efficiency but contribute little to corporate market power. There is a complementary structure between the two types of heterogeneous social capital. The embedded inertia of social capital into institutional environment is negatively related with corporate performance. From the perspective of economic transition, firms in developed regions rely far more on hierarchical social capital to acquire market power than firms in developing areas.
