A No-Reference Perceptual Blur Metric

In this paper, we present a no-reference blur metric for images and video. The blur metric is based on the analysis of the spread of the edges in an image. Its perceptual significance is validated through subjective experiments. The novel metric is near real-time, has low computational complexity and is shown to perform well over a range of image content. Potential applications include optimization of source coding, network resource management and autofocus of an image capturing device.


Published in:
Proceedings of the International Conference on Image Processing, 3, 57-60
Presented at:
International Conference on Image Processing, Rochester, NY, September 22--25, 2002
Year:
2002
Laboratories:




 Record created 2007-09-16, last modified 2018-01-28

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