In order to fully extract relevant features of color images and evaluate image color by simulating visual perception characteristics of human eye, an automatic evaluation method for camera subjective scene imaging color and white balance (CIQA for short) is proposed. Firstly, the corresponding position of ColorChecker standard twenty-four color cards in subjective image is identified, based on the combination of SIFT (Scale-invariant feature transform) and transmission transform,the corresponding position of ColorChecker standard twenty-four color cards in subjective image is identified. Aimed at constructing the deviation least square method model to calculate the weight distribution proportion of color restoration and white balance indicators,the expert grading method and entropy weight method are applied. The proximity between the schemes and positive and negative ideal schemes is calculated by optimized TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method dependent upon multi attribute weights to realize ranking of the smartphones. Experiments are carried out on the pictures collected in real scenes in comparison with the two existing decision-making methods. The results show that the proposed method can improve evaluation efficiency and save manpower, which can obtain evaluation results that are consistent with subjective judgment of human eye.