图像处理复原技术在实际应用的过程中多数情况下是为了提高图像的清晰度以及

图像处理复原技术在实际应用的过程中多数情况下是为了提高图像的清晰度以及图像质量，如在部分环境下，人们要求图像在实际应用的过程中能够更好地突出画面中的主体部分，这就要求相关技术人员通过图形 图像处理技术，在分析图像需要展示的主题内容的情况下，利用虚化等多种手段，在最大程度上削弱图像中其 他部分的存在感，利用锐化、阴影、发光等手段，提升画面中心内容的冲击力，进而使图像能够更好地进行中心内容的展示。而复原技术在实际应用的过程中主要是 将原有的像素较低，或者是较为模糊的图像进行处理， 以便更加清晰地进行图像内容的展示，为用户提供更加清晰的图片［3］。

In the process of practical application, image processing and restoration technology is mostly to improve the definition and quality of the image. For example, in some environments, people require the image to better highlight the main part of the picture in the process of practical application, which requires relevant technicians to pass the graphics and image processing technology, In the case of analyzing the subject content of the image to be displayed, various means such as virtualization are used to weaken the sense of existence of other parts of the image to the greatest extent, and sharpening, shadow, luminescence and other means are used to improve the impact of the central content of the picture, so that the image can better display the central content. In the process of practical application, restoration technology mainly processes the original images with low pixels or blurred images, so as to display the image content more clearly and provide users with clearer pictures [3].

In the process of practical application, image processing and restoration technology mostly aims at improving the clarity and image quality of images. For example, in some circumstances, people require that images can better highlight the main part of the picture in the process of practical application, which requires related technicians to use various means such as blurring to minimize the sense of existence of other parts of the image and enhance the picture by sharpening, shadowing, lighting and other means through graphic image processing technology. In the process of practical application, restoration technology mainly deals with the original images with lower pixels or blurry images, so as to display the image content more clearly and provide clearer pictures for users [3].