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              <text>Enhancement of Reflected Faces on Semi-reflecting Surfaces</text>
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              <text>Haze free image; Medium Transmission Map; Reflected face images</text>
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              <text>Face recognition is interesting research area in computer vision. This paper proposes to enhance faces reflected on semi reflecting surfaces such as glass window, glass screens or any other mirror like surfaces. Visibility or clarity of reflected image is depending on the reflecting ability of material surface on which reflection occurs. Other than mirror surfaces, majority of reflected images are less visibility. So recognition of reflected face is a challenge in the proposed method. This paper addresses enhancement of reflected face image. Estimating atmospheric light and medium transmission map, recover haze free image. Apply CLAHE i.e., adaptive histogram equalization by limiting contrast to obtain enhanced reflected face image.  2019 IEEE.</text>
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              <text>Suresha M.; Madhusudhan S.; Danti A.; Naik H.T.</text>
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              <text>Proceedings of the IEEE International Conference Image Information Processing, Vol-2019-November, pp. 205-209.</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>2019-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICIIP47207.2019.8985950" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICIIP47207.2019.8985950&lt;/a&gt;
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              <text>Restricted Access</text>
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              <text>ISSN: 2640074X; ISBN: 978-172810898-8</text>
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              <text>Suresha M., Kuvempu University, Department of Computer Science, Shankaraghatta, India; Madhusudhan S., Kuvempu University, Department of Computer Science, Shankaraghatta, India; Danti A., CHRIST (Deemed to be University), Department of Computer Science, Bengaluru, India; Naik H.T., Presidency College, Department of Computer Applications, Bengaluru, India</text>
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