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No-reference blur index using blur comparisons

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4 Author(s)
C. Li ; Jiangnan University, People¿s Republic of China ; W. Yuan ; A. C. Bovik ; X. Wu

Presented is a new no-reference blur index for still images that is based on the observation that it can be difficult to perceive between versions of an image blurred to different degrees. A `re-blurred` image is produced by intentionally blurring the test image. Local sample statistics are computed in the vicinity of detected edges of the original and re-blurred images, respectively. These are differenced and normalised to construct a new blur index. Experimental results on four simulated blur databases and on the Real Blur Image Database show that the proposed method obtains high correlations with test subjective quality evaluations.

Published in:

Electronics Letters  (Volume:47 ,  Issue: 17 )