
ISO 10505:2009
ISO 10505:2009 Photography – Root mean square granularity of photographic films – Method of measurement
CDN $259.00
Description
ISO 10505:2009 describes a method for determining the intrinsic root mean square granularity (rms‚Äëgranularity) of photographic films. Intrinsic rms-granularity refers to those density fluctuations produced solely by the distribution of developed image forming centres in the photographic emulsion.
Continuous-tone monochrome (silver absorbing species) and colour (dye absorbing species) materials coated on a transmitting support can be measured by the procedures described in ISO 10505:2009. ISO 10505:2009 is intended for imaging systems with viewing magnifications between 5x and 12x (see Annex A).
The following kinds of granularity measurements are not covered by ISO 10505:2009, even though they are photographically important:
- reflecting materials (photographic papers);
- materials having emulsion coated on both sides of the support (e.g. some X-ray films);
- the estimation of the noise power spectrum (Wiener spectrum).
Edition
1
Published Date
2009-05-05
Status
PUBLISHED
Pages
24
Format 
Secure PDF
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Abstract
ISO 10505:2009 describes a method for determining the intrinsic root mean square granularity (rms‚Äëgranularity) of photographic films. Intrinsic rms-granularity refers to those density fluctuations produced solely by the distribution of developed image forming centres in the photographic emulsion.
Continuous-tone monochrome (silver absorbing species) and colour (dye absorbing species) materials coated on a transmitting support can be measured by the procedures described in ISO 10505:2009. ISO 10505:2009 is intended for imaging systems with viewing magnifications between 5x and 12x (see Annex A).
The following kinds of granularity measurements are not covered by ISO 10505:2009, even though they are photographically important:
- reflecting materials (photographic papers);
- materials having emulsion coated on both sides of the support (e.g. some X-ray films);
- the estimation of the noise power spectrum (Wiener spectrum).
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