Color image coding using an orthogonal decomposition

Jonathan S. Abel; Bhaskaran Vasudev; Ho John Lee

doi:10.1117/12.58313

19 May 1992 Color image coding using an orthogonal decomposition

Jonathan S. Abel, Bhaskaran Vasudev, Ho John Lee

Proceedings Volume 1657, Image Processing Algorithms and Techniques III; (1992) https://doi.org/10.1117/12.58313
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States

Abstract

Representations of color images are discussed with regard to the problem of color image coding. Standard color image representations are seen to have components with considerable redundancy, and, accordingly are ill-suited for coding using standard gray-scale image coders. The notion of an uncorrelated or orthogonal representation, in which component images are independent in an L2 sense, is introduced and is shown to have features desirable as a preprocessor to a color image coder. Experiments using both spatial-domain and frequency- domain coders show that the orthogonal representation leads to a 20% - 70% compression ratio improvement over that of RGB or YIQ representations, with less visually objectionable artifacts at low peak signal-to-noise ratios.

Citation Download Citation

Jonathan S. Abel, Bhaskaran Vasudev, and Ho John Lee "Color image coding using an orthogonal decomposition", Proc. SPIE 1657, Image Processing Algorithms and Techniques III, (19 May 1992); https://doi.org/10.1117/12.58313

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