Improved detection model for DCT coefficient quantization

Heidi A. Peterson; Albert J. Ahumada Jr.; Andrew B. Watson

doi:10.1117/12.152693

8 September 1993 Improved detection model for DCT coefficient quantization

Heidi A. Peterson, Albert J. Ahumada Jr., Andrew B. Watson

Proceedings Volume 1913, Human Vision, Visual Processing, and Digital Display IV; (1993) https://doi.org/10.1117/12.152693
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States

Abstract

A detection model is developed to predict visibility thresholds for discrete cosine transform coefficient quantization error, based on the luminance and chrominance of the error. The model is an extension of a previously proposed luminance-based model, and is based on new experimental data. In addition to the luminance-only predictions of the previous model, the new model predicts the detectability of quantization error in color space directions in which chrominance error plays a major role. This more complete model allows DCT coefficient quantization matrices to be designed for display conditions other than those of the experimental measurements: other display luminances, other veiling luminances, other spatial frequencies (different pixel sizes, viewing distances, and aspect ratios), and other color directions.

Citation Download Citation

Heidi A. Peterson, Albert J. Ahumada Jr., and Andrew B. Watson "Improved detection model for DCT coefficient quantization", Proc. SPIE 1913, Human Vision, Visual Processing, and Digital Display IV, (8 September 1993); https://doi.org/10.1117/12.152693

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