Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)
Current Result Document : 11 / 11
ÇѱÛÁ¦¸ñ(Korean Title) |
ÁýÀû¿µ»ó¿¡¼ È¿À²ÀûÀÎ ¹°Ã¼¿òÁ÷ÀÓ ÃßÁ¤ ¹× Â÷ ¿µ»ó ±â¹ýÀ» ÀÌ¿ëÇÑ ¼ºê¿µ»óÀÇ °í¼Ó ¾ÐÃà |
¿µ¹®Á¦¸ñ(English Title) |
Accelerated compression of sub-images by use of effective motion estimation and difference image methods in integral imaging |
ÀúÀÚ(Author) |
ÀÌÇü¿ì
±èÀº¼ö
Hyoung-woo Lee
Eun-soo Kim
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¿ø¹®¼ö·Ïó(Citation) |
VOL 16 NO. 12 PP. 2762 ~ 2770 (2012. 12) |
Çѱ۳»¿ë (Korean Abstract) |
º» ³í¹®¿¡¼´Â ¼ºê¿µ»ó(sub-image)¿¡ MSE(mean square error)±â¹ÝÀÇ ºí·ÏÁ¤ÇÕ ¾Ë°í¸®ÁòÀÎ TSS (three-step search)¿Í FS (full search)¸¦ º¹ÇÕÀûÀ¸·Î Àû¿ëÇÔÀ¸·Î½á ¹°Ã¼¿òÁ÷ÀÓÀ» °í¼Ó, Á¤¹ÐÇÏ°Ô ÃßÁ¤ º¸»óÇÏ°í, Â÷ ¿µ»ó ±â¹ýÀ» ÅëÇØ °ø°£Àû Áߺ¹µ¥ÀÌÅ͸¦ Á¦°ÅÇÑ ÀÜ¿©¿µ»ó(residual image)À» °í¼Ó ¾ÐÃàÇÒ ¼ö ÀÖ´Â »õ·Î¿î ±â¹ýÀ» Á¦½ÃÇÏ¿´´Ù. Áï, Á¦¾ÈµÈ ±â¹ý¿¡¼´Â ÇȾ÷µÈ ¿µ»ó °£ÀÇ À¯»ç¼ºÀ» Çâ»ó½ÃÅ°±â À§ÇÏ¿© ÇȾ÷µÈ ¿ä¼Ò¿µ»óÀ¸·ÎºÎÅÍ ¼ºê¿µ»óÀ» ÀçÇÕ¼ºÇÑ µÚ, TSS ±â¹ÝÀÇ MSE ¾Ë°í¸®ÁòÀ» »ç¿ëÇÏ¿© Àü ¹°Ã¼¿µ¿ªÀ» ´ë»óÀ¸·Î °¡´ÉÇÑ ¹°Ã¼¿µ¿ª ¸¸À» °í¼ÓÀ¸·Î ãÀº ´ÙÀ½, ±× °¡´ÉÇÑ ¹°Ã¼¿µ¿ª¿¡ Á¤¹ÐÇÑ FS Ž»ö ¾Ë°í¸®ÁòÀ» Àû¿ëÇÏ¿© ¹°Ã¼¿µ»óÀÇ Á¤È®ÇÑ ¿òÁ÷ÀÓ º¤Å͸¦ ÃßÁ¤ÇÏ¿© º¸»óÇÏ°Ô µÈ´Ù. ¶ÇÇÑ, ¿òÁ÷ÀÓÀÌ º¸»óµÈ ¹°Ã¼¿µ»ó¿¡ Â÷ ¿µ»ó(difference image) ±â¹ýÀ» Àû¿ëÇÏ¿© ¼ºê¿µ»ó °£ÀÇ °ø°£Àû Áߺ¹ µ¥ÀÌÅ͸¦ Á¦°ÅÇÑ ÀÜ¿©¿µ»óÀ» ¾ò°Ô µÇ°í ÀÌ´Â MPEG-4 ¾Ë°í¸®ÁòÀ» ÅëÇØ ÃÖÁ¾ÀûÀ¸·Î ¾ÐÃàµÇ°Ô µÈ´Ù. ½ÇÇè°á°ú, Á¦¾ÈµÈ ±â¹ýÀº ±âÁ¸¹æ½Ä¿¡ ºñÇØ ¿µ»ó ¾ÐÃà·üÀº ±×´ë·Î À¯ÁöÇÏ¸é¼ ÇÁ·¹ÀÓ ´ç ¾ÐÃà½Ã°£ÀÌ 214% Çâ»óµÊÀ» º¸ÀÓÀ¸·Î½á Á¦¾ÈµÈ ±â¹ýÀÇ ½ÇÁ¦ ÀÀ¿ë °¡´É¼ºÀ» Á¦½ÃÇÏ¿´´Ù.
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¿µ¹®³»¿ë (English Abstract) |
In this paper, we propose a novel approach to effectively compress the sub-images transformed from the picked-up elemental images in integral imaging, in which motion vectors of the object in each sub-image are fast and accurately estimated and compensated by combined use of MSE(mean square error)-based TSS(tree-step search) and FS(full search) schemes. This is, the possible object areas in each sub-image are searched by using the fast TSS algorithm in advance, then the these selected object areas are fully searched with the accurate FS algorithm. Furthermore, the sub-images in which all object's motion vectors are compensated, are transformed into the residual images by using the difference image method and finally compressed with the MPEG-4 algorithm. Experimental results reveal that the proposed method shows 214% improvement in the compression time per each image frame compared to that of the conventional method while keeping the same compression ratio with the conventional method. These successful results confirm the feasibility of the proposed method in the practical application.
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Å°¿öµå(Keyword) |
ÁýÀû¿µ»ó
¿ä¼Ò¿µ»ó
¼ºê¿µ»ó
¾ÐÃà
Æò±Õ Àڽ ¿¡·¯
¿òÁ÷ÀÓÃßÁ¤ ¹× º¸»ó
integral imaging
elemental image
sub-image
compression
mean square error
motion estimation and compensation
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ÆÄÀÏ÷ºÎ |
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