ICIP 2006, Atlanta, GA
 

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Atlanta Conv. & Vis. Bureau

 

Technical Program

Paper Detail

Paper:WP-L5.6
Session:Image Quality Assessment
Time:Wednesday, October 11, 16:20 - 16:40
Presentation: Lecture
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.