Work

Feature stabilized digital x-ray coronary angiograms improve human visual detection in JPEG compressed images

Year: 1999

Type: article

Abstract: We evaluate the effect on human visual detection of a display method that stabilizes the motion of the feature of interest in sequential JPEG compressed x-ray coronary angiogram images. At all levels of image compression the feature stabilized display significantly improved performance with respect to the standard display where the artery is moving. In addition, for both the moving artery and stabilized display, human performance with images compressed at 15:1 was not significantly different from performance with the uncompressed images.

Source: Optics Express

DOI: 10.1364/oe.4.000193

Authors: M. P. Eckstein, J. L. Bartroff, C. A. Morioka, D. J. Vodopich, J. S. Whiting

Institution: Cedars-Sinai Medical Center

Language: English

Topic: Image and Video Quality Assessment

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,270