Simple spatial processing for color mappings

Reiner Eschbach; Raja Bala; Ricardo L. de Queiroz

doi:10.1117/1.1636184

1 January 2004 Simple spatial processing for color mappings

Reiner Eschbach, Raja Bala, Ricardo L. de Queiroz

Journal of Electronic Imaging, Vol. 13, Issue 1, (January 2004). https://doi.org/10.1117/1.1636184

In image processing, color is generally treated as an autonomous entity that is separate from spatial dimensions. Consequently, color processing and color mapping are predominantly done as point operations, linking one color to another, without considering spatially neighboring colors. It is well known that this point-wise approach does not capture the spatial dependencies of color that we humans experience in everyday life. More precise mathematical models of color vision that take into account spatial dependencies are generally computationally expensive. This leads to a continuing predominance of point-wise color processing. We introduce some simple spatially dependent processing techniques and demonstrate the potential advantages of even such simple schemes. The underlying assumption is that simple spatial operations allow the "hiding" of artifacts and errors in a way that is less objectionable to a human observer.

©(2004) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Reiner Eschbach, Raja Bala, and Ricardo L. de Queiroz "Simple spatial processing for color mappings," Journal of Electronic Imaging 13(1), (1 January 2004). https://doi.org/10.1117/1.1636184

Published: 1 January 2004

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