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ÇÑ±Û Ç¥Áظí ÇìÀÌÁî ¿µ»ó °¨Áö ±â¼ú(±â¼úº¸°í¼­)
¿µ¹® Ç¥Áظí Hazy Scene Detection based on Hue, Saturation, and Dark Channel Distributions(Technical Report)
ÇÑ±Û ³»¿ë¿ä¾à ÀÌ ±â¼úº¸°í¼­´Â ÇìÀÌÁî°¡ ¾ø´Â ¿µ»óÀÇ µðÇìÀÌ¡ È¿°ú·Î ÀÎÇÑ ¿µ»óÀÇ Ç°Áú ¾ÇÈ­ ¹®Á¦¸¦ ÇØ°áÇϱâ À§ÇÑ ¹æ¹ýÀ» ´Ù·é´Ù. ÇìÀÌÁî°¡ ÀÖ´Â ¿µ»óÀº µðÇìÀÌ¡ ±â¼úÀ» ÅëÇØ ¿µ»óÀÇ Ç°ÁúÀ» Çâ»ó½ÃŰÁö¸¸ ÇìÀÌÁî°¡ ¾ø´Â ¿µ»óÀº µðÇìÀÌ¡ ±â¼ú·Î ÀÎÇØ ¿µ»óÀÇ È­ÁúÀ» ÀúÇϽÃŲ´Ù. ¿µ»óÀÇ »ö»ó, äµµ, ´ÙÅ© ä³Î ºÐÆ÷ÀÇ Á¤º¸¸¦ ºÐ¼®ÇÏ¿© ÇìÀÌÁî ¿µ»óÀ» °¨ÁöÇÏ´Â ¸ðµ¨À» Á¦½ÃÇÑ´Ù.
¿µ¹® ³»¿ë¿ä¾à The Technical Report aims to solve the problem of bad image quality due to the dehazing effect of a haze-free image. The image with haze improves the quality of the image through the dehazing technique, but the image without haze degrades the image quality due to the dehazing technique. This technical report presents a model that detects haze images by analyzing information on image hue, saturation, and dark channel distribution.
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°ü·ÃÆÄÀÏ    TTAR-11.0072.pdf TTAR-11.0072.pdf
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ÇìÀÌÁî ¿µ»ó °¨Áö ±â¼ú(±â¼úº¸°í¼­) TTAR-11.0072 2020-10-28 Á¦Á¤ À¯È¿ ¾øÀ½ TTAR-11.0072.pdf