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However, such methods may introduce ringing artifacts due to over enhancement in the vicinity of edges.
A packet prioritization scheme in LBA gives a higher weight to I frames over B and P frames and also to base layer packets over enhancement layer packets.
Although numerous contrast enhancement methods have been proposed, most of them are unable to automatically produce satisfactory results for different kinds of low-contrast videos, and may generate ringing artifacts in the vicinity of the edges "washed-out" artifacts [12] when having monochromic background or noise over enhancement artifacts.
However, it has performed poorly in many circumstances because of its drawbacks, such as loss of detail, over enhancement, noise amplification, and the mean shift issue, which produces a remarkable dissimilarity between the illumination of the input and the output images [22].
Hence, we cannot use many of the widely accepted methods of contrast enhancement, which rely on enhancing the contrast of the both of dark and bright regions at equal level, which results in over enhancement and disappearance of the finer details in brighter regions.
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Good contrast-enhancement algorithms aim to provide local and global contrast improvements, low noise amplification and enhanced images free of saturation, over-enhancement and colour shift problems.
Results show the effectiveness of the proposed algorithm in enhancing local and global contrasts, suppressing saturation and over-enhancement artefacts while retaining the original image appearance.
Traditional image enhancement techniques produce different types of noise such as unnatural effects, over-enhancement, and artifacts, and these drawbacks become more prominent in enhancing dark images.
Over-enhancement is also observed in EHS.
The estimated reflectance component cannot avoid the brightness over-enhancement.
This helps to avoid over-enhancement and additional noise.
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