Method and device for enhancing images

Abstract

The invention provides a method for enhancing images, which comprises the following steps: processing original images to obtain detail images; calculating local enhancement coefficients of an area which takes each pixel point as a center in the original images; and enhancing each pixel point corresponding to the original images in accordance with the obtained detail images and each calculatedly obtained local enhancement coefficient so as to obtain enhanced detail images. The invention also discloses a device for enhancing the images. The method and device for enhancing the images, which are provided by the invention, are used, thereby being capable of enhancing detail information of the images, such as edges and the like, and improving the accuracy of intelligent analysis and processing.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image enhancement method and device. Background technique [0002] Intelligent monitoring is used in many fields, such as road traffic, urban security and so on. figure 1 It is a schematic diagram of the structure of the existing intelligent monitoring system, such as figure 1 As shown, the intelligent monitoring system includes an image acquisition module 11 , a video encoding module 12 , a network transmission module 13 , a video decoding module 14 , an image display module 15 and an intelligent processing module 16 . Wherein, the image acquisition module 11 is used to collect video images through the camera; the video encoding module 12 is used to compress and encode the collected video images; the network transmission module 13 is used to compress and encode the image code stream obtained through the network Carry out transmission; Video decoding module ...

AI Technical Summary

Problems solved by technology

[0003] However, when the camera collects video images, it is affected by factors such as the external environment (such as fog, rain, night, etc.) and the quality of the camera itself, which leads to the result of displaying or intelligently analyzing and processing the decoded video images. It cannot meet the needs of users, so the decoded video image can be enhanced to provide additional enhanced information for the subsequent display and intelligent analysis processing, and then the enhanced video image can be displayed and intelligently analyzed to achieve Improve the accuracy of display and intelligent analysis processing

[0004] At present, when enhancing the decoded video image, two methods can be used: image enhancement based on grayscale stretching and image local enhancement based on statistical information. Although these two methods can enhance the image, but based on grayscale The stretched image enhancement method tends to cause the loss of detail information such as the edge of the image while enhancing the entire image; while the local image enhancement method based on statistical information tends to regard noise as high-frequency information of the image when enhancing the image, that is, in It is easy to introduce high noise while enhancing the image

Images