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Abhijith Punnappurath on Muck Rack

Abhijith Punnappurath

As seen in: arXiv
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Articles

Electrical Engineering and Systems Science > Image and Video Processing

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By Abhijith Punnappurath, Michael Brown
| arXiv
Independent control of tonescale regions (e.g., shadows, highlights) is essential for painters, photographers and cinematographers to bring 2D images to life. In image manipulation software this is most directly addressed by color grading modules, which use intensity thresholds to segment distinct illumination regions for local manipulation.
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As-projective-as-possible bias correction for illumination estimation algorithms

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By Graham Finlayson, Michael Brown Verified, Abhijith Punnappurath, Mahmoud Afifi
| osapublishing.org
Algorithm 1. Estimating a Projective Transformation Using Alternating Least Squares Input: Matrix A containing the N R, G, B estimates of the illuminant obtained using the chosen illumination estimation algorithm and matrix B containing the corresponding ground truth R, G, B values of the light. Output: The 3×3 projective bias-correction matrix P and an auxiliary variable D that compensates for the difference in magnitude between the estimated illuminants and their corresponding ground truths.
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