Chromatic adaptation-based tone reproduction for high-dynamic-range imaging

Joohyun Lee; Gwanggil Jeon; Jechang Jeong

doi:10.1117/1.3250245

1 October 2009 Chromatic adaptation-based tone reproduction for high-dynamic-range imaging

Joohyun Lee, Gwanggil Jeon, Jechang Jeong

Author Affiliations +

Optical Engineering, Vol. 48, Issue 10, 107002 (October 2009). https://doi.org/10.1117/1.3250245

Abstract

We present an adaptive tone reproduction algorithm for displaying high-dynamic-range (HDR) images on conventional low-dynamic-range (LDR) display devices. The proposed algorithm consists of an adaptive tone reproduction operator and chromatic adaptation. The algorithm for dynamic range reduction relies on suitable tone reproduction functions that depend on histogram-based parameter estimation to adjust luminance according to global and local features. Instead of relying only on reduction of dynamic range, this chromatic adaption technique also preserves chromatic appearance and color consistency across scene and display environments. Our experimental results demonstrate that the proposed algorithm achieves good subjective quality while preserving image details. Furthermore, the proposed algorithm is simple and practical for implementation.

©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Joohyun Lee, Gwanggil Jeon, and Jechang Jeong "Chromatic adaptation-based tone reproduction for high-dynamic-range imaging," Optical Engineering 48(10), 107002 (1 October 2009). https://doi.org/10.1117/1.3250245

Published: 1 October 2009

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