Paper
4 May 2010 Matching rendered and real world images by digital image processing
Carles Mitjà, Toni Bover, Miquel Bigas, Jaume Escofet
Author Affiliations +
Abstract
Recent advances in computer-generated images (CGI) have been used in commercial and industrial photography providing a broad scope in product advertising. Mixing real world images with those rendered from virtual space software shows a more or less visible mismatching between corresponding image quality performance. Rendered images are produced by software which quality performance is only limited by the resolution output. Real world images are taken with cameras with some amount of image degradation factors as lens residual aberrations, diffraction, sensor low pass anti aliasing filters, color pattern demosaicing, etc. The effect of all those image quality degradation factors can be characterized by the system Point Spread Function (PSF). Because the image is the convolution of the object by the system PSF, its characterization shows the amount of image degradation added to any taken picture. This work explores the use of image processing to degrade the rendered images following the parameters indicated by the real system PSF, attempting to match both virtual and real world image qualities. The system MTF is determined by the slanted edge method both in laboratory conditions and in the real picture environment in order to compare the influence of the working conditions on the device performance; an approximation to the system PSF is derived from the two measurements. The rendered images are filtered through a Gaussian filter obtained from the taking system PSF. Results with and without filtering are shown and compared measuring the contrast achieved in different final image regions.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Carles Mitjà, Toni Bover, Miquel Bigas, and Jaume Escofet "Matching rendered and real world images by digital image processing", Proc. SPIE 7723, Optics, Photonics, and Digital Technologies for Multimedia Applications, 77230D (4 May 2010); https://doi.org/10.1117/12.850051
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KEYWORDS
Cameras

Modulation transfer functions

Point spread functions

Image quality

Imaging systems

Image filtering

Image enhancement

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