1 April 1997 New image restoration performance measure with high precision
Author Affiliations +
Optical Engineering, 36(4), (1997). doi:10.1117/1.601296
The field of image restoration lacks a promising comparison vehicle for judging the effectiveness of competing algorithms. By far the most widely adopted quantitative measurement of image restoration performance is by means of the SNR improvement. We address the issues of performance assessment of image restoration and propose a unified framework for the performance measure. The SNR improvement, which is within the proposed framework, is shown to be an inappropriate performance measure for image restoration. By introducing a metric for pixel fidelity improvement and incorporating the main properties of the human visual system into the measurement, we devise a performance measure of better quality, particularly of higher precision.
Sheung On Choy, Yuk-Hee Chan, Wan-Chi Siu, "New image restoration performance measure with high precision," Optical Engineering 36(4), (1 April 1997). http://dx.doi.org/10.1117/1.601296

Image restoration

Signal to noise ratio

Remote sensing

Image segmentation


Image processing

Precision measurement

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