Research on fuzzy image enhancement and restoration effect

In order to make the collected image of driving smart car with higher contrast, clearer effect of edge detection and better quality, this paper studies image identification, edge feature extraction and high-resolution restoration. The method of adaptive histogram equalization is adopted to process images, which eliminated artificially produced boundaries, enlarged the dynamic range of the image(variable gray tone), improved the contrast and enhanced the quality of image. The improved Canny operator and the different peculiarity between the car and the background in pictures are used to extract the objective edge, which separated the target from the background. The effect of the point spread function PSF size on the image restoration is discussed by using the blind deconvolution method. It is shown that when the PSF used in the restoration process is close to the point spread function PSF of the real array, the blurred image can be restored to the maximum extent, and obtain highdefinition, good visual effects of the image.