Oil Painting Features Based on Big Data Blockchain Algorithm and Digital Image Technology

Oil painting is a type of non realistic rendering technology that allows people to express the desired information and create artistic images through oil painting. Oil painting does not care about the authenticity of the images and has strong expressive and technical effects. The article introduced three elements of oil painting feature analysis, including color features, color harmony, and theme color extraction, and introduced image processing technology. By calculating the color feature vectors of oil painting features, the features of the oil painting were analyzed based on the feature data. Talking about the security of oil painting images disseminated in the network in the age of big data, the blockchain mechanism was introduced. Oil painting images were tested based on the average number of color bands and pixel ratios of oil painting features from different periods, as well as the changes in oil painting color features. An analysis was also conducted on the falsification of oil painting images under the blockchain mechanism. Data showed that the average number of color bands in early oil painting images was only 4.5. By the 19th century, the number of color bands had increased to 6.8, and the pixel ratio data had changed from 0.5 in the early stage to 0.28 in modern oil painting images. When the number of times oil painting images were shared online was between 100000 and 500000, the fraud rate was controlled within 10%, while under traditional network mechanisms, the highest fraud rate of oil painting images was 55%. The conclusion is that digital image technology can analyze the characteristics of oil paintings in different periods, and the blockchain mechanism can provide a secure network communication platform for oil painting image sharing, providing stronger security protection for oil painting image information.