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In this document, we propose an image tone mapping method enhancing the image visibility in outdoor environment. The proposed method improves the outdoor visibility of the displayed image in two aspects: brightness enhancement and content adaptive contrast enhancement. From the experiment results, it is confirmed that the proposed method improves the brightness and the contrast at the same time and enhances outdoor visibility effectively even with the limited dynamic range of the display device. Compared to conventional methods, proposed method has higher flexibility and effectiveness. This method is already utilized on the mobile devices for outdoor visibility enhancement and we expect to apply it to the automotive platforms.

In this paper, we introduce how to map the native Organic Light Emitting Diode (OLED) panel's color gamut to the standard gamut (i.e., sRGB or P3). In order to achieve better accuracy and speedy mapping for the overall gamut region, we modeled OLED panel considering IR‐drop and Lateral leakage which are unique properties of OLED. In the experiment results, it is confirmed that the native mobile OLED panel was tuned to the standard gamut properly and proposed Color Gamut Mapping (CGM) result had an average distortion less than 0.4 in CIEDE2000. (It almost equals to 0.5 JNCD) In addition, whole calibration procedure can be performed within 1 minute by using proposed method, so that could be applied to individual panel calibration in a factory line.

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The performance of a fingerprint recognition system relies on the quality of the input fingerprint images. Several researches have been studied on the enhancement of fingerprint images for fingerprint recognition. The representative enhancement is the adaptive filtering method based on Gabor filter (GF). However, this method is computationally expensive due to the large mask size of GF. In this paper, we propose a half Gabor filter (HGF), which is suitable for fast implementation in spatial domain. The HGF is a modified filter which preserves the frequency property of a GF and reduces the mask size of the GF. Compared with the GF, the HGF not only reduces the processing time approximately by 41% but also enhances the fingerprint image which is as reliable as the GF.