A no-reference objective image sharpness metric based on the notion of just noticeable blur (JNB)

Rony Ferzli; Lina J Karam

doi:10.1109/TIP.2008.2011760

A no-reference objective image sharpness metric based on the notion of just noticeable blur (JNB)

IEEE Trans Image Process. 2009 Apr;18(4):717-28. doi: 10.1109/TIP.2008.2011760.

Authors

Rony Ferzli¹, Lina J Karam

Affiliation

¹ Department of Electrical Engineering, Arizona State University, Tempe, AZ 85287-5706, USA. rony.ferzli@asu.edu

PMID: 19278916
DOI: 10.1109/TIP.2008.2011760

Abstract

This work presents a perceptual-based no-reference objective image sharpness/blurriness metric by integrating the concept of just noticeable blur 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 being able to predict with high accuracy the relative amount of blurriness in images with different content.