A sand-dust image sharpening method with information loss constraints

Abstract

The invention discloses a sand and dust image clearing method according to an information loss restraint, wherein the sand and dust image clearing method comprises the steps of establishing an atmosphere light imaging model, a first step, calculating an atmosphere light component; a second step, calculating a rough estimated value of transmissivity and obtaining a rough transmissivity of a whole original image; a third step, thinning the rough transmissivity and obtaining the transmissivity of the whole image after thinning; and a fourth step, obtaining a finally recovered target image, and obtaining a target image after clearing based on an original sand and dust image. The sand and dust image clearing method provided by the invention realizes clearing processing on an image which is photographed in a sand and dust condition and realizes a relatively high clearing effect on sand and dust images with different degradation degrees and color shift degrees. The sand and dust image clearing method further has advantages of restoring effective information in the original image, enriching details, restraining halation, improving contrast and maintaining good scene color. The sand and dust image clearing method is suitable for image clearing in smog and sand-and-dust weathers with different degrees.

Description

technical field [0001] The invention belongs to the technical field of image restoration, and realizes image clarity and restoration of yellow offset under low contrast, low information content and severe dust weather, and specifically relates to a method for clearing sand and dust images constrained by information loss. Background technique [0002] With the rapid development of information technology and computer image processing technology, more and more fields use image information for intelligent identification and judgment, such as traffic, video surveillance, investigation, navigation, etc. However, in the case of sand and dust weather, affected by the scattering of sand and dust particles suspended in the atmospheric medium, the captured image will have degradation phenomena such as reduced contrast and color shift, which greatly reduces the recognizability of the scene, which seriously restricts the outdoor environment. Application of image processing system. Sand ...

AI Technical Summary

Problems solved by technology

The classic image enhancement methods usually start from subjective feelings, and do not analyze the physical causes of image degradation caused by weather factors, but only improve the observability of images through the idea of ​​contrast stretching; however, the images taken in actual sand and dust weather , the degree of degradation varies with the depth of the scene, and the corresponding degree of contrast enhancement should vary with the space of the depth of field. Therefore, based on the idea of ​​traditional image enhancement to restore dust images, it has a certain effect on the restoration of scenes with large depth of field changes. Limitations, and it is difficult to restore the color that matches the actual scene

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