In the case of low resolution packaging images in weak light, the identification degree of packaging recognition and detection is not high, and contrast enhancement processing is required. A method for enhancing the contrast design of packaging images in weak light based on curved wave transformation is proposed. Construct an image spatial feature information detection model, decompose the image using a panchromatic sharpening method at multiple scales, reorganize the panchromatic sharpening features using a curved wave transformation method, and combine the dictionary set sparse representation method to achieve low dimensional subspace representation. Construct a contrast enhancement model for weakly illuminated packaging images based on the detailed representation structure of the subspace. The simulation results show that using this method to enhance the contrast of weak light packaging images improves the level of image recognition and the ability to express detailed features. The recognition error is low, with an average of 0.045, and the peak signal to noise ratio is high, with an average of 42.134 dB, the average image enhancement time is 239.75 ms.