1 December 1984 Imaging System Response Linearization And Shading Correction
Its'hak Dinstein, Fritz Merkle, Tinwai D. Lam, Kwan Y. Wong
Author Affiliations +
Abstract
Shading correction of image sensors is a very important operation in visual inspection applications. The generation and application of shading cor-rection with and without imaging system response linearization is discussed and demonstrated. The linearization is achieved by subtracting the dark current image and by applying a look-up table operation. The content of the look-up table is obtained by fitting an analytical function to the measured system response. The linearization enables the shading correction to be a linear operation. The quality of the linearization and the shading correction is evaluated using statistical parameters of the processed images. The results show a substantial decrease in the standard deviation of the gray level distribution of uniform reference images.
Its'hak Dinstein, Fritz Merkle, Tinwai D. Lam, and Kwan Y. Wong "Imaging System Response Linearization And Shading Correction," Optical Engineering 23(6), 236788 (1 December 1984). https://doi.org/10.1117/12.7973384
Published: 1 December 1984
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CITATIONS
Cited by 8 scholarly publications and 1 patent.
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KEYWORDS
Imaging systems

Image processing

Image quality

Image sensors

Optical inspection

Sensor calibration

Statistical analysis

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