In order to meet the high demand for sampling data in interactive image color editing, a new interactive image color editing method based on block feature was proposed. The change of image color was caused by the change of features of each block in the original image. Firstly, the image was divided into blocks in the LUV coordinate, and the linear correlation coefficient between UV and L was found in small blocks. The correlation coefficient was used as the feature of the block image to establish the optimal model of image color diffusion. By using the structural similarity before and after image transformation, LLE was used to simplify the optimization model. Finally, the sparse linear algebraic equations were used to solve the problem. The experimental results show that the proposed method can preserve the structure of the image and render the image color naturally in the condition of low sampling.