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Image Enhancement by Correction of Cllipped Pixels: An Exemplification

Vijendra Kr. Shakya, Nishchol Mishra, Sanjeev Sharma


Conventional images store an extremely constrained element scope of brightness. The genuine luma in the bright region of such pictures is regularly lost because of section. At the point when section changes the R, G, B shading ratios of a pixel, shading twisting likewise happens. In this paper, we propose an algorithm to improve both the luma and chroma of the clipping pixels. Our method is in view of the solid chroma spatial connection between clipping pixels and their encompassing unclipped zone. In the wake of distinguishing the clipping ranges in the picture, we segment the clipping regions into districts with comparative chroma, and gauge the chroma of each clipping area in light of the chroma of its encompassing unclipped locale. We rectify the clipping R, G, or B shading channels taking into account the evaluated chroma and the unclipped shading channel(s) of the present pixel. The next step includes smoothing of the boundaries between regions of different clipping scenarios. And, lastly the brightness of clipped boundary pixels are adjusted on the basis of value of pixels odd never regions. Both goal and subjective exploratory results demonstrate that our algorithm is exceptionally viable in restoring the chroma, luma, and brightness of clipped pixels.

Cite this Article
Vijendra Kr. Shakya, Nishchol Mishra, Sanjeev Sharma. Image Enhancement by Correction of Cllipped Pixels: An Exemplification. Journal of Artificial Intelligence Research & Advances. 2016; 3(1): 30–38p.


Clipping, desaturation, color restoration, high dynamic range (HDR), inverse tone mapping

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