Automatic selection of color reference image for panoramic stitching |
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Authors: | Muhammad Twaha Ibrahim Rehan Hafiz Muhammad Murtaza Khan Yongju Cho |
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Affiliation: | 1.Vision Image and Signal Processing (VISpro) Lab, School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST),Islamabad,Pakistan;2.Broadcasting and Telecommunications Media Research Laboratory,Electronics and Telecommunications Research Institute, ETRI,Daejeon,Republic of Korea;3.Faculty of Computer Science and Information Technology,University of Jeddah,Jeddah,Kingdom of Saudi Arabia |
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Abstract: | Color correction is an important step in the generation of high-resolution stitched panoramas. Typically, color correction schemes try to match the color of each image in the panorama to an arbitrarily selected reference image. We provide a scheme that uses quantitative metrics such as image contrast, gradient-based structure similarity index measure (G-SSIM) and color clipping information to automatically select the best reference that results in visually pleasing output panoramas. Quantitative and qualitative evaluation of the scheme show encouraging results for panoramic images as well as for stitched videos. The scheme acts as a pre-processing step to color correction and its applicability to both parametric and non-parametric global color correction schemes has also been demonstrated. |
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