Comparisons of the Camera OECF, the ISO Speed, and the SFR of Digital Still-Picture Cameras

Abstract

In this paper, the techniques as well as the measurement results of the performance of commercial digital still-picture cameras are presented. The key parameters such as the camera Opto-Electronic Conversion Function (OECF), the noise based ISO speed, and the spatial frequency response (SFR) are reported. The camera OECF is defined as the relationship between the input luminance and the grayscale or digital output from the camera, which was measured by using a test chart with twelve squares of various luminances. The ISO speed was calculated from the exposure time, the effective f-number, and the luminance at different incremental signal-to-noise ratios. In general, the exposure time is not obtainable from a commercial digital camera unless a destructive measurement is undergoing. In this study, a device was setup to obtain the exposure time when the OECF test chart was recording. A modified slanted-edge method was employed to estimate the SFR by imaging a pattern with a black-to-white edge tilted at an arbitrary angle. There are seven digital still picture cameras as our test samples whose CCD sensor contains VGA-size and million pixels. The camera OECF of these cameras did not show significant difference under a large range of illumination. However, the ISO speed and the SFR were of great variation.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2000
Accession Number
ADP011346

Entities

People

  • Kai-wei Chuang
  • Wie-feng Hsu
  • Yun-chiang Hsu

Organizations

  • Tatung University

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Cameras
  • Digital Cameras
  • Focal Planes
  • Frequency
  • Frequency Response
  • Illumination
  • Image Compression
  • Luminance
  • Measurement
  • Optical Phenomena
  • Optics
  • Photographic Film
  • Photographs
  • Photography
  • Signal Processing
  • Test Methods

Readers

  • Image Processing and Computer Vision.

Technology Areas

  • Microelectronics
  • Microelectronics - Microelectromechanical Systems