IMPORTANT DATES
 Call for Papers
 
  » Journal-first (JIST or JPI) 5 June
  » Conference 28 June
 Acceptance Notification   
  » Journal-first (JIST or JPI)
mid-July
  » Journal-first (JIST or JPI) mid-Aug
 Registration Opens early Sept
 Final Manuscripts Due

  » Journal-first 12 Sept
  » Conference 4 Oct
  Early Registration Ends
17 Oct
 Technical Sessions Begin
Nov 1
   

29th Color and Imaging Conference (2021)

Camera Color Characterization: Theory and Practice

SC10

Camera Color Characterization: Theory and Practice
Instructors: Eric Walowit, consultant, and Dietmar Wueller, Image Engineering GmbH & Co. KG
Level: Intermediate
Duration: 4 Hours
Course Time: 
     New York: 18 October 2021, 10:00 - 15:00
     Paris: 18 October 2021, 16:00 - 21:00
     Tokyo: 18 October 2021, 23:00 - 04:00

Course Prerequisites: A basic understanding of color science.
Benefits:

Attendees will be able to:

  • Understand the need for camera colorimetric characterization and the impact of color calibration on image quality and manufacturing yield.
  • Perform target-based and spectral-based camera characterization.
  • Solve for colorimetric camera transforms and build profiles using linear and nonlinear techniques.
  • Evaluate current colorimetric camera characterization hardware and software technology and products.
  • Participate in hands-on spectral camera characterization, camera transform generation, and matching from capture to display.

Course Description
This course covers the process of colorimetric camera characterization in theory and practice. The need for camera characterization and calibration and the impact on general image quality is first reviewed. Known issues in traditional approaches are discussed. Methodology for building camera colorimetric transforms and profiles are detailed step-by-step. State-of-the-art solutions using current technology are presented including monochromators, multispectral LED light sources, in situ measurements of spectral radiances of natural objects, and modern color transform methods including multidimensional color look up tables. A live demonstration is performed of the end-to-end process of spectral camera characterization, camera transform generation, and matching from capture to display. This course provides the basis needed to implement advanced color correction in cameras and software.

Intended Audience: engineers, project leaders, and managers involved in camera image processing pipeline development, image quality engineering, and production-line quality assurance.

Eric Walowit's interests are in color management, appearance estimation, and image processing pipelines for digital photographic applications. He is the founder (retired) of Color Savvy Systems, a color management hardware and software company. He graduated from RIT's image science program (1985), concentrating in color science. Walowit is a member of ICC, ISO/TC42, IS&T, and CIEJTC10.

Dietmar Wueller studied photographic sciences in Cologne. He is the founder of Image Engineering, one of the leading suppliers for test equipment for digital image capture devices. Wueller is a member of IS&T, DGPH, and ECI, and he is the German representative for ISO/TC42/WG18;  he also participates in several other standardization activities.

 

For office use only:

Category
1. Short Courses: Use "CIC-SC15" coupon code at checkout for a 15% discount if taking 3 or more courses. Students may not use this offer.
When
10/18/2021 10:00 AM - 3:00 PM
Eastern Daylight Time