The article discusses different methods for improving hazy images caused by particles in the atmosphere. Haze can be uniform or non-uniform, affecting image quality. The researchers compared techniques for clearing up both types of haze and measured the quality of the resulting images using Peak Signal to Noise ratio (PSNR) and Structure Similarity Index Measures (SSIM). They found that some methods work better for homogeneous haze, while others are more effective for non-homogeneous haze. The study analyzed 30 sets of images and calculated average PSNR and SSIM values to compare the techniques.