-Reversible image watermarking, a type of digital data hiding, is capable of recovering the original image and extracting the hidden message with precision. A number of reversible algorithms have been proposed to achieve a high embedding capacity and a low distortion. While numerous algorithms for the achievement of a favorable performance regarding a small embedding capacity exist, the main goal of this paper is the achievement of a more favorable performance regarding a larger embedding capacity and a lower distortion. This paper therefore proposes a reversible data hiding algorithm for which a novel piecewise 2D auto-regression (P2AR) predictor that is based on a rhombus-embedding scheme is used. In addition, a minimum description length (MDL) approach is applied to remove the outlier pixels from a training set so that the effect of a multiple linear regression can be maximized. The experiment results demonstrate that the performance of the proposed method is superior to those of previous methods.
Composite materials are new materials for the future. Studies and commercialization of composite materials for metal machine have been brisk since the 1960s. In particular, the aviation, space, and shipbuilding industries have developed composite materials of Ni alloy and other metals, thereby dramatically reducing shortcomings of the concerned combined metal. It has contributed to improving the quality and performance of the concerned products that use those metals. This report will be dedicated to explaining Invar‐AK Claded, which combines Invar with less thermal discoloration and AK with strong tolerance to shock from use. It will complement weak points of he two metals, reduce production cost through the entire production process related to CRT and sheet steel production, and improves the quality of CRT.
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