19 January 2009 Color compensation of histogram equalized images
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Proceedings Volume 7241, Color Imaging XIV: Displaying, Processing, Hardcopy, and Applications; 724111 (2009); doi: 10.1117/12.805750
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
Abstract
We present a color correction algorithm for histogram equalized images captured by a digital camera. Current color correction methods are based on human color perception of luminance and hue. However, these techniques do not consider nonlinear camera characteristics, therefore the resulting color images show color distortions where brightness modification is severe. We propose a new effective color correction method that depends on the camera brightness and color curve. It utilizes the relationship of luminance and color variation of a camera used for image capture. We can predict chrominance variation after luminance change by tracing the brightness-chrominance curve of the camera model. Therefore the resulting image shows color that would have been obtained at different exposure using the same camera. We verify that the processed images have natural color and that they are similar to images taken at different exposure conditions. Moreover it is possible to apply the proposed method to software bracketing; we can change the exposure condition of an image at post processing stage. All test results demonstrate that our method is accurate and useful in the enhancement of a color of digital images.
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Hee-Won Lee, Sejung Yang, Byung-Uk Lee, "Color compensation of histogram equalized images", Proc. SPIE 7241, Color Imaging XIV: Displaying, Processing, Hardcopy, and Applications, 724111 (19 January 2009); doi: 10.1117/12.805750; https://doi.org/10.1117/12.805750
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KEYWORDS
Cameras

Databases

Chromium

Image processing

Digital cameras

Human vision and color perception

Image enhancement

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