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Technical Program
Paper Detail
| Paper: | WP-L5.6 |
| Session: | Image Quality Assessment |
| Time: | Wednesday, October 11, 16:20 - 16:40 |
| Presentation: |
Lecture
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| Title: |
HUMAN VISUAL SYSTEM BASED NO-REFERENCE OBJECTIVE IMAGE SHARPNESS METRIC |
| Authors: |
Rony Ferzli; Arizona State University | | | | | Lina Karam; Arizona State University | | |
| Abstract: |
This work is motivated by the fact that existing no-reference sharpness metrics fail in predicting the correct amount of blurriness in images with different contexts. This paper presents a no-reference objective sharpness metric that can be applied to images with different contexts. The metric combines a Human Visual System (HVS)-based sharpness perception model as well as a local features extractor resulting in a content-invariant metric. The proposed HVS-based sharpness perception model is derived from performed subjective tests. Simulation results and comparison with existing no-reference sharpness metrics show that the proposed HVS-based sharpness metric correlates well with the perceived sharpness and is able to correctly predict the relative amount of blurriness in images with different contexts. |
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