Paper
22 May 2003 JPEG 2000 encoder options on model observer performance in signal known exactly but variable tasks (SKEV)
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Abstract
The new still image compression standard JPEG 2000 provides a set of features such as multiple resolution representation, tiling, region of interest (ROI) coding, and easy compression rate control. Previous evaluations of these encoder options have been with respect to non-task based image quality metrics (PSNR) and for non-medical images. In this paper, we investigated the effect of different JPEG 2000 encoder options on task-based model and human observer performance. Test images consisted of x-ray coronary angiogram backgrounds with simulated filling defects (signals)of 184 different size/shapes inserted in one of four simulated arteries. The task was to select the simulated artery containing the signal (four alternative forced choice; 4 AFC). The signal on each trial varied in shape and size but was known to the observer (signal known exactly but variable, SKEV). We obtained performance for the non-prewhitening matched filter with an eye filter (NPWE) model for the SKEV task through direct template implementation (Eckstein et al., 2000) on the test images. For comparison, a follow-up human psychophysical study with two observers was conducted. Our results showed that the dependence of task performance on the JPEG 2000 encoder options was similar for both the NPWE model and the human observers.
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Yani Zhang, Binh Pham, and Miguel P. Eckstein "JPEG 2000 encoder options on model observer performance in signal known exactly but variable tasks (SKEV)", Proc. SPIE 5034, Medical Imaging 2003: Image Perception, Observer Performance, and Technology Assessment, (22 May 2003); https://doi.org/10.1117/12.480078
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Cited by 6 scholarly publications.
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KEYWORDS
Image compression

Computer programming

Performance modeling

Arteries

Image quality

Angiography

Discrete wavelet transforms

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