Rising of the characteristic curve gradient near photographic fog

Yury S. Muzalievsky

doi:10.1117/12.279229

26 September 1997 Rising of the characteristic curve gradient near photographic fog

Yury S. Muzalievsky

Proceedings Volume 3140, Photometric Engineering of Sources and Systems; (1997) https://doi.org/10.1117/12.279229
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

The low characteristic curve (CC) gradient of the exposed and developed photographic emulsion (PE) near fog imposes certain restrictions on the photographic photometry accuracy and the weak object detection threshold. The conventional model of PE, where the effective absorption density of a certain PE area is used as an exposure measure, has been exhausted. With such a model photometry accuracy and detection capability of PE can be enhanced only by the development of new types of PE. The properties of existing PE may be improved if the conventional exposure measure is complemented by a new PE parameter which can be measured simultaneously with the density. A new PE model is offered in which in addition to the density of a certain PE area, the intensity of the light scattered by the developed PE grains of the same area is measured. It has been shown that the scattered light intensity measured within a sufficient aperture and corrected for PE grain absorption can serve as a low exposure measure and demonstrates a sufficient gradient of the new CC where the conventional CC has a gradient close to zero.

Citation Download Citation

Yury S. Muzalievsky "Rising of the characteristic curve gradient near photographic fog", Proc. SPIE 3140, Photometric Engineering of Sources and Systems, (26 September 1997); https://doi.org/10.1117/12.279229

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available