Paper: | TA-P6.5 |
Session: | Image Scanning, Display, Printing, Color and Multispectral Processing II |
Time: | Tuesday, September 18, 09:50 - 12:30 |
Presentation: |
Poster
|
Title: |
A NO-REFERENCE OBJECTIVE IMAGE SHARPNESS METRIC BASED ON JUST-NOTICEABLE BLUR AND PROBABILITY SUMMATION |
Authors: |
Rony Ferzli; Arizona State University | | |
| Lina Karam; Arizona State University | | |
Abstract: |
This work presents a perceptual-based no-reference objective image sharpness/blurriness metric by integrating the concept of Just Noticeable Blur (JNB) into a probability summation model. Unlike existing objective no-reference image sharpness/blurriness metrics, the proposed metric is able to predict the relative amount of blurriness in images with different content. Results are provided to illustrate the performance of the proposed perceptual-based sharpness metric. These results show that the proposed sharpness metric correlates well with the perceived sharpness. |