Image processing method and device

Abstract

The present disclosure relates to an image processing method and device, which are used to improve the visualized visual characteristics of an image. The method includes: determining a light source area and an over-dark area of ​​the image, the brightness of the over-dark area is lower than that of the light source area, and the ratio of the brightness values ​​of the over-dark area to the light source area is equal to or smaller than a preset ratio, The over-dark area includes an object area and a shadow area; identifying the object area and the shadow area in the over-dark area according to the light source area; and adjusting the brightness of the light source area, the object area, and the shadow area of ​​the image, so that The visual visual characteristics of the adjusted image are better than the initial visual visual characteristics of the image, wherein the brightness adjustment range of the shadow area is smaller than the brightness adjustment range of the object area, so that the brightness of the processed image is improved while ensuring The smooth coherence between different processing regions is improved, and the visual visual characteristics of the image are improved.

Description

technical field [0001] The present disclosure relates to the field of image processing, in particular to an image processing method and device. Background technique [0002] In related technologies, due to the overexposure of the camera or camera acquisition system and the excessive enhancement of the local strong light by the night vision image enhancement algorithm, the range of strong light in the image is further expanded, and the surrounding information of the strong light is lost, so that the image cannot clearly display the captured light. object. In the related technology, by locating a strong light source, the strong light source is weakened to achieve the purpose of making the image clear, but this technology only processes the strong light with a brightness value of 255 in the image, and uses this threshold (255) to process the image. The binary processing does not consider the overall distribution of image brightness and the range of light and dark areas, and th...

AI Technical Summary

Problems solved by technology

[0002] In related technologies, due to the overexposure of the camera or camera acquisition system and the excessive enhancement of the local strong light by the night vision image enhancement algorithm, the range of strong light in the image is further expanded, and the surrounding information of the strong light is lost, so that the image cannot clearly display the captured light. object

In the related technology, by locating a strong light source, the strong light source is weakened to achieve the purpose of making the image clear, but this technology only processes the strong light with a brightness value of 255 in the image, and uses this threshold (255) to process the image. The binary processing does not consider the overall distribution of image brightness and the range of light and dark areas, and the image processing effect is not ideal

Images