Distortion Metrics for Image Coding Using Monochrome and Color Human Visual Models

Scott E. Budge

doi:10.1364/AV.1989.ThA6

Applied Vision
Technical Digest Series (Optica Publishing Group, 1989),
paper ThA6
•https://doi.org/10.1364/AV.1989.ThA6

Distortion Metrics for Image Coding Using Monochrome and Color Human Visual Models

Scott E. Budge

Applied Vision 1989

San Francisco, California United States
12–14 July 1989
ISBN:

From the session
Image Quality Metrics (ThA)

Not Accessible

Your library or personal account may give you access

Get PDF
Email
Share
Get Citation
Copy Citation Text
S. E. Budge, "Distortion Metrics for Image Coding Using Monochrome and Color Human Visual Models," in Applied Vision, Technical Digest Series (Optica Publishing Group, 1989), paper ThA6.

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Citation alert
Save article

Abstract

The use of a human visual model based distortion measure for image coding and evaluation is described. Test results show that when an image is encoded using the visual model, the measured quality correlates better with visual quality when the measurements are made within the model, and better images are produced.

PDF Article

More Like This

Psychophysical rating of image compression techniques*

Charles S. Stein, Andrew B. Watson, and Lewis E. Hitchner
ThA7 Applied Vision (AV) 1989

An Image Quality Metric for Digital Letterforms

Joyce E. Farrell and Andrew E. Fitzhugh
ThB5 Applied Vision (AV) 1989

Perceptual Image Quality Metrics

Jacques A. J. Roufs, Huib de Ridder, and Joyce Westerink
ThA2 Applied Vision (AV) 1989

Previous Article Next Article