Research And Application Of Image Defog In Agricultural Information

In recent years,with the rapid development of image information processing technology,the application of image is more and more extensive.Image processing is to use a certain algorithm to process low-quality images to obtain high-quality images.The processed images can restore higher clarity obtain hidden information and improve the information entropy of images.It can also restore the color of the image,which is more suitable for human visual observation,and provides more valuable information for the application of image information in the next step.The existing image processing methods are divided into tow parts: one is to transform in space domain,the image is processed in the space domain,the other transform the space domain into the frequency domain,the space domain is calculated in the frequency domain,and the image after the transformation is carried out.At the present,the image processing mainly deal with single image defogging and multi-graph defogging.In this paper,we study the problem of single image defogging,aiming at the problem of image blur caused by haze,there are several algorithms,such as dark channel,wavelet algorithm,histogram equalization,adaptive histogram equalization,limiting contrast adaptive histogram equalization.The mainstream algorithm is dark channel prior.But the dark channel prior can solve the problem of normal image defogging.The problem is that the defogging is not good,because the value of atmospheric light is not accurate,such as the problem of the sky part of the image or the image that is too white or light,The fog'effection will not be resloved.In this paper,by improving the value of atmospheric light to improve the image defog effect.In this paper,we use the mean filter to de-noise four times,reduce its white point,will make the value of atmospheric light more natural,then set a maximum value of the atmospheric light of the dark channel prior;Finally,the guiding filter is used to deal with the image details,and the guiding filter is used to improve the image details after the fog removal,Image color enhancement can be used in the image without haze to make up for the distortion of the image and get a more suitable image for human eyes.The computersimulation results show that the proposed method is effective in image processing.The result is superior to the simple dark channel prior algorithm.The application of image defogging in modern agriculture mainly includes information collection system and field remote sensing monitoring system and provides technical support for modern agriculture.