Rapid and effective mirror surface highlight image enhancement method and device and storage medium

Abstract

The invention discloses a rapid and effective mirror surface highlight image enhancement method and device and a storage medium, and the method comprises the steps of processing an inputted mirror surface highlight image through employing an improved guide filtering algorithm, so as to enhance the contrast of the image, and dividing the processed image into a base layer and a detail layer; obtaining an improved cost function, namely introducing local mean square errors of all pixels into the base layer for keeping the edge of the image; extracting a brightness component in the LAB space, and enhancing the brightness component by using a contrast-limited adaptive histogram equalization algorithm; and introducing an adaptive amplification factor into the detail layer to suppress noise whileenhancing details. The image processed by the method can well recover the shielded local information in the specular highlight image, and can reserve more detail features compared with the original image.

Description

technical field [0001] The invention relates to image enhancement technology, which belongs to the field of image processing, in particular to a fast and effective specular highlight image enhancement method, device and storage medium. Background technique [0002] Image processing has been widely used in various industries such as industry, medical treatment, and security. However, when shooting objects with smooth surfaces, the image is prone to form high-light areas under the action of reflection. The highlights in the image are mainly manifested as high-intensity pixels, and the existence of highlights will cover the texture of the object surface, damage the outline of the object edge, change the color of the object surface, and saturated highlights will even cause the complete loss of information in the local area of ​​​​the object surface. The existence of highlights in the image will not only affect the quality of the image, but also bring great interference to the ap...

AI Technical Summary

Problems solved by technology

The highlights in the image are mainly manifested as high-intensity pixels, and the existence of highlights will cover the texture of the object's surface, damage the outline of the object's edge, change the color of the object's surface, and saturated highlights will even cause the complete loss of information on the local area of ​​​​the object's surface.

The existence of highlights in the image will not only affect the quality of the image, but also bring great interference to the application research of target detection, image segmentation and three-dimensional reconstruction of objects.

[0003] Although the existing specular highlight removal algorithms have achieved some results, there are still some problems when dealing with highlight images in real scenes: First, there are restrictions on the input image, and the application scene is relatively single. Specific objects and specific scenarios have no practical application value in real life scenarios

Second, when dealing with specular highlight images in real life, the existing algorithms cannot remove the highlight components in the image, and the processed image has the problem of information loss, and its popularity and practicability still have certain limitations sex

Images