Multi-scale toggle operator for constructing image sharpness measure

To construct effective image sharpness measure with good discrimination ability, a multi-scale toggle operator based algorithm is proposed in this paper. Firstly, toggle operator is used to extract image details. And, the multi-scale theory is used in toggle operator to extract multi-scale image details. Then, the final image details are obtained through applying the pixel-wise maximum operation on the extracted multi-scale image details. Finally, the mean value of the obtained final image details is used as the constructed image sharpness measure. Experimental results on different images show that, the proposed image sharpness measure could correctly quantify the clarity of image and is suitable for discriminating the image clarity change.

► A multi-scale toggle operator based image sharpness measure is proposed.
► Useful image features which could identify the sharpness are identified.
► Multi-scale useful image features are used to constructed image sharpness measure.
► The constructed measure is effective and sensitive to image clarity change.