Night scene image denoising and enhancing processing method

Abstract

The invention provides a night scene denoising and enhancing processing method, relates to the field of remote sensing image processing, and solves the problems existing in an existing night scene image denoising method that visual interpretation is inconvenient, and in a process of performing enhancing processing on an image, an enhancing effect is poor and consumed time is long. Denoising processing is performed on a received original image, thereby obtaining a denoised image; Bell interpolation is performed on the denoised image, thereby obtaining a color image of three wavebands of RGB; the obtained color image of the three wavebands of RGB is converted from RGB into a YUV color domain, thereby obtaining image brightness, according to the image brightness, an image gray scale stretching coefficient is calculated, and a ratio coefficient of image brightness before and after stretching is utilized to adjust three channels of R, G and B in the same proportion, thereby obtaining an enhanced image. The binarized image generated by combination of two methods can effectively separate a foreground from a background, noise is removed, high-frequency details of the image is kept, an algorithm is simple and practicable, and thus the method is easy to directly apply in engineering treatment.

Description

technical field [0001] The invention relates to the field of remote sensing image processing, in particular to a processing method for night scene image noise removal and image enhancement in satellite remote sensing data. Background technique [0002] Night scene images are surface data acquired by remote sensing satellites at night. Using the low-light scanning function of the sensor, it can effectively detect city lights, even low-intensity lights from small-scale residential areas and traffic, and capture human life in a dark background. footprint. Night scene images are used in urban pattern change monitoring, road monitoring, and disaster assessment and other fields. However, when night scene images are acquired, the sensor adopts higher gain and longer exposure time, which will inevitably introduce noise into the image, and the image noise mainly includes two types: one is bright noise, and in night scene The grainy highlighted isolated noise appears in the image, a...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a night scene image denoising and enhancement processing method to solve the problems that the existing night scene image denoising method is not conducive to visual interpretation, and in the process of image enhancement processing, there are poor enhancement effects and long time consumption.

Images