Holographic laser projection degraded images contain various factors such as noise and uneven illumination. In order to optimize image quality and improve image clarity, a holographic laser projection degraded image phase recovery technology is proposed. Firstly, the wavelet threshold method is used to remove noise from degraded holographic laser projection images containing noise; Secondly, combining the Retinex algorithm with a Gaussian low-pass filter to estimate the incident component of the holographic laser projection degraded image, using a partitioned local color strip mapping algorithm combined with the incident component to enhance the holographic laser projection degraded image; Finally, the phase restoration method based on the cartoon texture model is used to repair degraded images and achieve holographic laser projection for image restoration. The experimental results show that the proposed method has good denoising and enhancement effects on the image. At the same time, the phase recovery accuracy is higher than 97.0%, and the SSIM value reaches 0.9, the MSE value is lower than 0.9%, and the peak signal-tonoise ratio is higher than 7.14 dB. It has a better phase recovery effect on holographic laser projection degraded images.