What are the papers on the presence of predictors in image hiding?
Best insight from top research papers
Reversible data hiding (RDH) schemes in encrypted images based on prediction error have been proposed in multiple papers. These schemes aim to embed additional information into encrypted images while maintaining lossless image recovery and error-free data extraction. The proposed methods utilize the redundancy in the prediction error of the original image to improve the embedding capacity. They consider different types of prediction errors and utilize error blocks to mark their locations, while message blocks are used to embed the secret data. Flag blocks are also employed to distinguish error and message blocks. Experimental results show that these RDH schemes achieve large embedding capacities and good reconstructed image quality, making them superior to other similar methods .
Answers from top 5 papers
More filters
| Papers (5) | Insight |
|---|---|
| The provided paper does not mention anything about the presence of predictors in image hiding. | |
1 Citations | The provided paper does not mention any specific papers on the presence of predictors in image hiding. |
1 Citations | The provided paper does not mention any other papers on the presence of predictors in image hiding. |
| The provided paper does not specifically mention any papers on the presence of predictors in image hiding. | |
| The provided paper does not mention any other papers on the presence of predictors in image hiding. |
Related Questions
What are the predictors of smoking cessation?5 answersThe predictors of smoking cessation identified in the abstracts include sociodemographic factors such as age, sex, education level, and employment status. Other predictors include smoking-related variables such as age at smoking initiation, cigarette consumption, and CO concentration at baseline. Additionally, the use of smoking cessation pharmacotherapy and previous quit attempts were found to be significant predictors of successful quitting. Factors associated with unsuccessful cessation include current snus use, high nicotine dependence, being a student, and having respiratory diseases or mental health disorders. It is important to note that predictors may vary between different populations and settings.
What is predictive processing?4 answersPredictive processing is an explanatory framework in cognitive neuroscience that views the brain as a prediction machine aiming to minimize prediction error. It has been used to explain conscious experience and the phenomenology of time-consciousness. Current approaches to predictive processing in time-consciousness are closer to a Kantian-Brentanian approach than to the Husserlian account they aim to account for. The predictive processing account of action, cognition, and perception is a varied research tradition with different levels of empirical commitments. It can be understood as a computational framework rather than a unifying theoretical perspective, allowing for flexible adjustments and an unrestricted number of degrees of freedom. Theories of consciousness tend to struggle in accounting for the diverse properties of conscious experiences. The predictive processing framework emerges as a promising candidate for consciousness science, providing systematic mappings between physical and biological mechanisms and the functional and phenomenological properties of consciousness.
What is knowledge hiding?5 answersKnowledge hiding refers to the intentional act of withholding or concealing knowledge that has been requested by another individual. It is a common phenomenon observed in organizations, where employees may hide their knowledge in various forms such as tacit knowledge or explicit knowledge. The reasons behind knowledge hiding can vary, with some employees finding it difficult to explain their knowledge to others, while others may fear being imitated by their colleagues. Knowledge hiding can be observed by third parties in the workplace, and it is often interpreted as an injustice. Research in this area has shown that knowledge hiding is not simply the opposite of knowledge sharing, and it is important to clarify the concept and explore its progress and development. Knowledge hiding can have negative consequences for scientific collaboration and hinder scientific progress. It is influenced by factors such as victim sensitivity, suspiciousness, and the activation of social identity. Organizational learning plays a significant role in knowledge hiding, and it is important for organizations to preserve their capacity for learning and provide appropriate training mechanisms and knowledge management outlets to reduce information hiding.
Who is citied when talking about predictive Quality?3 answersPredictive quality is cited in the abstracts of two papers. The first paper by Beckschulte et al. discusses the untapped knowledge in product and process data that is available in manufacturing companies. The second paper by Kuhn et al. focuses on the prediction of quality and strength in the welding of plastic parts.
What is a predictor?5 answersA predictor is a tool or algorithm that uses known information to make predictions about unknown information. It is used to estimate or forecast the future based on historical data and current conditions. Predictors can handle cases where there is no direct relationship between input and output values by using prediction functions that estimate potential vectors and hyperparameters from learning data. They can improve prediction accuracy by using models with kernel functions that incorporate factors contributing to the growth state of viruses, microbes, plants, or animals. Predictors can also be used in time-domain approximation algorithms like the Adams-Bashforth-Moulton's predictor-corrector algorithm. Overall, predictors are scientific methods and means for inferring the development trend of things based on information and data.
How do you identify the most important predictor variables in regression models SPSS?6 answers