29 December 1993 Image M.T.F. analysis using grain noise
Author Affiliations +
The M.T.F. of an image capture system is a good measure of a system's ability to reproduce sharp pictures. Post image capture processing will enhance the sharpness of the picture but the amount and type of processing required to produce a sharp picture is affected strongly the the M.T.F. of the image capture system. A simple and cheap method for measuring the M.T.F. in these circumstances is to measure the response of the imaging system to low modulation white noise. One such source of low modulation white noise is grain noise present in photographic transparencies. If the grain noise is captured with the image capture system and then Fourier transformed a M.T.F. response is produced. Presented is a practical example of this technique, from obtaining the test targets to producing the M.T.F. graphs. Also presented are some of the pitfalls that can be encountered using the technique.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Martin Gouch, Martin Gouch, Malcolm Roe, Malcolm Roe, } "Image M.T.F. analysis using grain noise", Proc. SPIE 1987, Recording Systems: High-Resolution Cameras and Recording Devices and Laser Scanning and Recording Systems, (29 December 1993); doi: 10.1117/12.165180; https://doi.org/10.1117/12.165180


Fast auto-focus approach based on green components analysis
Proceedings of SPIE (September 12 2002)
Construction Of Image Science
Proceedings of SPIE (May 31 1970)
Radiological Imagery Enhancement
Proceedings of SPIE (May 31 1971)
Fourier analysis of AIMS images for mask characterization
Proceedings of SPIE (August 27 2003)

Back to Top