Abstract
Generally computer applications use digital images. Digital image plays a vital role in the analysis and explanation of data, which is in the digital form. Images and videos of outside scenes are generally affected by the bad weather environment such as haze, fog, mist etc. It will result in bad visibility of the scene caused by the lack of quality. This paper exhibits a study about various image defogging techniques to eject the haze from the fog images caught in true world to recuperate a fast and enhanced nature of fog free images. In this paper, we propose a simple but effective the weighted median (WM) filter was first presented as an overview of the standard median filter, where a nonnegative integer weight is assigned to each position in the filter window image .Gaussian and laplacian pyramids are applying Gaussian and laplacian filter in an image in cascade order with different kernel sizes of gaussian and laplacian filter .The dark channel prior is a type of statistics of the haze-free outdoor images. It is based on a key observation - most local patches in haze-free outdoor images contain some pixels which have very low intensities in at least one-color channel. Using this prior with the haze imaging model, we can directly estimate the thickness of the haze and recover a high-quality haze-free image. Results on a variety of outdoor haze images demonstrate the power of the proposed prior. Moreover, a high-quality depth map can also be obtained as a by-product of haze removal and Calculate the PSNR and MSE of three sample images.
Highlights
Image processing (IP) systems increment the estimation of image |from the defiled picture
Outside scene pictures captured within the weather condition are typically attributable to the entity of the haze, fog, mist, or different media attributable to weather condition atmosphere fog, haze, rain and snow is that the major reason of image degradation
We have proposed a weighted filter with Gaussian laplacian pyramid, as well as the dark channel prior, for single image haze removal
Summary
Image processing (IP) systems increment the estimation of image |from the defiled picture. By the method of image fusion the great info from every of the given pictures is fused along to make a resultant image whose quality is superior to any of the input pictures This can be achieved by applying a sequence of operations on the photographs that will create the great information in every image distinguished. Projected haze removal techniques with multiple pictures of a similar scene underneath varied atmospheric condition. As of late, varied examinations have organized on single image way to deal with reestablishing the perceivability of a murky image These procedures rely on either solid suspicion or hearty priors, by that fog thickness is probably going by utilizing a solitary image. Utilizing of assessment of sort of scene differentiate this system reestablishes the deceivability of an image by boosting its neighborhood differentiate [1]
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