Paper
28 January 2008 Color correction of projected image on color-screen for mobile beam-projector
Author Affiliations +
Proceedings Volume 6807, Color Imaging XIII: Processing, Hardcopy, and Applications; 68070F (2008) https://doi.org/10.1117/12.766047
Event: Electronic Imaging, 2008, San Jose, California, United States
Abstract
With the current trend of digital convergence in mobile phones, mobile manufacturers are researching how to develop a mobile beam-projector to cope with the limitations of a small screen size and to offer a better feeling of movement while watching movies or satellite broadcasting. However, mobile beam-projectors may project an image on arbitrary surfaces, such as a colored wall and paper, not on a white screen mainly used in an office environment. Thus, color correction method for the projected image is proposed to achieve good image quality irrespective of the surface colors. Initially, luminance values of original image transformed into the YCbCr space are changed to compensate for spatially nonuniform luminance distribution of arbitrary surface, depending on the pixel values of surface image captured by mobile camera. Next, the chromaticity values for each surface and white-screen image are calculated using the ratio of the sum of three RGB values to one another. Then their chromaticity ratios are multiplied by converted original image through an inverse YCbCr matrix to reduce an influence of modulating the appearance of projected image due to spatially different reflectance on the surface. By projecting corrected original image on a texture pattern or single color surface, the image quality of projected image can be improved more, as well as that of projected image on white screen.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chang-Hwan Son, Soo-Jin Sung, and Yeong-Ho Ha "Color correction of projected image on color-screen for mobile beam-projector", Proc. SPIE 6807, Color Imaging XIII: Processing, Hardcopy, and Applications, 68070F (28 January 2008); https://doi.org/10.1117/12.766047
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KEYWORDS
RGB color model

Cameras

Image quality

Reflectivity

Data modeling

Light sources

Modulation

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