Abstract
One of the most important factors to create an atmosphere or a global impression of the image seems to be the feature of the whole image as texture since atmosphere is not so much depended on the details of each part of the image. In order to reproduce atmosphere of the landscape images we made model patterns, reconstructing texture of the images. Full-color landscape images were segmented into patches of same color after converting them into 256-color images and analyzed sizes and numbers of color patches. We made six reconstructed model patterns from the data of color patches. Some of the reconstructed texture patterns are similar in global appearance to the original landscape images although details of the original images are completely destroyed and we can not understand what they are at all. Each reconstructed patterns were evaluated by subjects to find out good methods to reproduce atmosphere of the landscape and two methods got high score. The results suggest that global texture of image create atmosphere of landscape image.
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Bando, T., Kawabata, N. (2006). ATMOSPHERE REPRODUCTION OF THE LANDSCAPE IMAGE BY TEXTURE RECONSTRUCTION. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_126
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DOI: https://doi.org/10.1007/1-4020-4179-9_126
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-4178-5
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