| The electric power system uses infrared diagnostic technology to detect a large number of infrared images captured on the spot,and the information such as the photographer,shooting time and location are embedded into the corresponding infrared image without losing.Extracting the information when needed can ensure the accuracy and security of the image information,which is of great significance to the operation,maintenance and management of the electric power system.Based on the infrared images of the electrical equipment and the reversible information hiding technologies,this paper improves the reversible algorithm to improve the embedding ability of infrared images of electrical equipment.The double reversible schemes that based on Pixel-value-ordering(PVO)and Pixel-based Pixel Value Ordering(PPVO)are sorting a large number of infrared images of electrical equipment,and counting the distribution of the coarse blocks.The roughness distribution of the infrared images of electrical equipment is related to the size of the electrical equipment.In the reversible scheme based on Pixel-value-ordering,the definition of local roughness can not truly describe the roughness of large and large scanning blocks,which affects the image embedding effect.The rationalization of the local roughness of the reversible scheme based on Pixel-value-ordering is rationalized and improved.The maximum and minimum values after sorting in the block are removed,and the remaining neighboring pixel differences are averaged to replace the original local roughness definition of the reversible scheme based on Pixel-value-ordering,which ensures the reversibility of the algorithm.The improved algorithm can truly restore the roughness of medium and large blocks,effectively increase the embedded capacity of small thresholds,and obtain better performance in large embedded capacity.The embedding method of the reversible scheme based on Pixel-value-ordering is studied.It is found that the reversible scheme based on Pixel-value-ordering does not embed secret information for pixel blocks with the same pixel values,thus limiting the embedding ability of the image.Optimizing the limitations of the embedding method in the reversible scheme based on Pixel-value-ordering,finding the pixel block with prediction error PEmax=0,pn-1≠255 and pn-1-pn-2>2 and PEmin=0,p2≠0and p2-p3<-2,embedded with the next largest and the lowest value.Information that increases the number of pixels in the embedded information.The research results show that adjusting the reversible scheme based on Pixel-value-ordering not only effectively improves the overall embedding ability of the carrier image,but also improves the peak signal-to-noise ratio performance. |