Study on the Performance of Image Color Style considering Brushstroke Control Factors

Abstract

To address the issues of high time consumption, low recall rate of image color styles, and poor image color processing outcomes in existing methods, we proposed an image color style performance analysis method that takes brushstroke control elements into account. We investigate the connection between brushstroke control parameters and picture color style performance. Furthermore, assuming that the brushstroke components are completely considered, we evaluate the image’s color composition to derive the R, G, and B values and apply the cloning process to prejudge the image’s color style. Based on the color style prejudgment, the median segmentation method for color quantization is used to increase the efficiency of image color style extraction, and the cumulative histogram is used to categorize the image color style. The experimental findings reveal that the suggested technique has low time complexity, good picture color accuracy, and recall and does not generate uneven image color brightness.