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Ç¥ÁعøÈ£ | TTAK.KO-10.1383 | ±¸Ç¥ÁعøÈ£ | |
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Á¦°³Á¤ÀÏ | 2022-12-07 | ÃÑÆäÀÌÁö | 20 |
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¿µ¹®Ç¥Áظí | Individual Neural Networks Structure for Spatial Resolution Improvement of Light Field Image | ||
Çѱ۳»¿ë¿ä¾à | ÀÌ Ç¥ÁØÀº ¶óÀÌÆ® Çʵå À̹ÌÁö ³»ÀÇ °³º° ºäÆ÷ÀÎÆ® À̹ÌÁö¿¡ ´ëÇØ ½Å°æ¸ÁÀ» °³º°ÀûÀ¸·Î ¹èÄ¡ÇÏ¿© ÇнÀÇÔÀ¸·Î½á °¡ÁßÄ¡¸¦ ºäÆ÷ÀÎÆ® º°·Î ºÐ¸®ÇÏ¿© Àû¿ëÇÏ´Â °³º° ½Å°æ¸Á ±¸Á¶¸¦ ÅëÇÑ ¶óÀÌÆ® Çʵå À̹ÌÁöÀÇ °ø°£ ÇØ»óµµ °³¼±°ú ÀÌ¿¡ ´ëÇÑ ¼º´É Æò°¡ ¹æ¹ýÀ» Á¤ÀÇÇÑ´Ù. | ||
¿µ¹®³»¿ë¿ä¾à | This standard defines a method for light field image spatial improvement through the individual neural network structure that separates and applies weights for each viewpoint by individually placing and learning a neural networks for each viewpoint image within a light field image, and a performance evaluation method about it. | ||
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°ü·ÃÆÄÀÏ | TTAK.KO-10.1383.pdf |