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In this image-based method, the bright and dark artefacts are detected using thresholding techniques followed by morphological operations.
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For these gray images, most of the methods detect the bright sky or dark shadows as the salient regions, and method MR generally detects the image center as the salient region.
The output images of these methods lose the bright and dark pixel parts.
To be better, the AGCWD method produced the brighter image both in overall and detail; however, recognition of the bright-pixel details on the top of the yellow hat is an impossible task due to its bad contrast.
The proposed method first estimates the bright channel to control the amount of brightness enhancement.
Three split parts of segmentation results in Fig. 5 g i demonstrate the capability of our method to segment the bright and dark blobs (high likelihood of potential abnormality) simultaneously.
But what happens when such methods intrude into the bright glare of public scrutiny?
Although the haze removal-based method can better preserve the bright region than the histogram-based methods without brightness saturation, it cannot avoid the noise amplification and color distortion in the resulting image.
A method checking how well the bright loop-top kernel represents the site of hot thermal plasma has been proposed.
For the AGCWD method, the enhanced image looks brighter without brightness preservation and so many bright-pixel details have been removed, such as the take-off trail.
Figure 5 c, d shows the results of histogram-based methods with saturation in the bright region.
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