1. Image Focus Measure Based on Polynomial Coefficients and Reduced Gerschgorin Circle Approach.
- Author
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B N, Al Sameera, Gaidhane, Vilas H., and Rajevenceltha, J.
- Subjects
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CIRCLE , *POLYNOMIALS , *RANK correlation (Statistics) - Abstract
In this paper, a simple and efficient no-reference image quality assessment technique based on polynomial coefficient and reduced Gerschgorin circle is presented. The dominant features and dynamics of the test images are captured using the polynomial coefficient. Moreover, the image focus measure is modeled using the concept of reduced Gerschgorin's higher circle bound. The presented image focus measure is tested on different synthetic images datasets such as LIVE, TID2008, CSIQ, Cornel and IVC. Further, the proposed approach is also examined on real-time images captured by the camera in different conditions. It is observed that the proposed approach demonstrates important properties of focus measures such as unimodality and contrast invariance. Moreover, the presented technique is robust under the different varying noisy conditions. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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