ÇѱÛÁ¦¸ñ(Korean Title) |
À±°û ¹æÇ⼺À» °í·ÁÇÑ ÀûÀÀÀû ¿µ»óº¹¿ø |
¿µ¹®Á¦¸ñ(English Title) |
Adaptive Image Restoration Considering the Edge Direction |
ÀúÀÚ(Author) |
Àü¿ì»ó
ÀÌ¸í¼·
ÀåÈ£
Woosang Jeon
Myungsub Lee
Hojang
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¿ø¹®¼ö·Ïó(Citation) |
VOL 16-B NO. 01 PP. 0001 ~ 0006 (2009. 02) |
Çѱ۳»¿ë (Korean Abstract) |
¿òÁ÷ÀÓ¿¡ ÀÇÇØ Èå·ÁÁö°í ÀâÀ½À¸·Î ÈÑ¼ÕµÈ ¿µ»óÀ» º¹¿øÇÏ´Â °ÍÀº ¸Å¿ì ¾î·Æ´Ù. ±âÁ¸ÀÇ ¹æ¹ýµéÀº ¿µ»óÀÇ ±¹ºÎÀûÀΠƯ¼ºÀ» °í·ÁÇÏÁö ¾Ê°í ¿µ»óÀüü¿¡ ÀÏ·üÀûÀ¸·Î º¹¿ø󸮸¦ ÇàÇÔÀ¸·Î½á À±°ûºÎºÐ¿¡¼ ¸®ÇÃÀâÀ½À» ÃÊ·¡ÇÏ°í Æò¸éºÎºÐ¿¡¼µµ ÀâÀ½ÁõÆøÀ» ÇÇÇÒ ¼ö ¾ø´Ù. ÀÌ·¯ÇÑ ¹®Á¦Á¡À» °³¼±Çϱâ À§ÇÏ¿©, º» ³í¹®¿¡¼´Â À±°û¹æÇâÀ» °í·ÁÇÑ ¹æÇ⼺ Á¤Ä¢È ¿¬»êÀÚ¸¦ »ç¿ëÇÏ¿© ÀûÀÀÀûÀ¸·Î 󸮵Ǵ ¹Ýº¹ Á¤Ä¢È ¹æ¹ýÀ» Á¦¾ÈÇÑ´Ù. ±×°Í°ú ´õºÒ¾î ÀûÀÀ Á¤Ä¢È ÆĶó¸ÞŸ¿Í ÀÌ¿Ï ÆĶó¸ÞŸ¸¦ Àû¿ëÇÏ´Â ¾Ë°í¸®Áòµµ ÇÔ²² Á¦¾ÈÇÑ´Ù. °á·ÐÀûÀ¸·Î, ÀÌ ¹æ¹ýÀº ±âÁ¸ÀÇ ¹æ¹ý°ú ºñ±³ÇÒ ¶§, Æò¸éºÎºÐ¿¡¼ ÀâÀ½ÁõÆøÀ» ¾ïÁ¦ÇÏ°í, ½Ã°¢ÀûÀ¸·Î Áß¿äÇÑ À±°ûºÎºÐÀÇ ¸®ÇÃÀâÀ½À» ¾ïÁ¦ÇÔÀ¸·Î½á À±°ûºÎºÐ º¹¿ø¿¡ ´õ¿í È¿À²ÀûÀÓÀ» ½ÇÇèÀ» ÅëÇÏ¿© È®ÀÎÇÒ ¼ö ÀÖ¾úÀ¸¸ç ¶ÇÇÑ ISNR ¸é¿¡¼µµ ¿ì¼öÇÏ¿´´Ù´Â °ÍÀ» È®ÀÎÇÒ ¼ö ÀÖ´Ù. |
¿µ¹®³»¿ë (English Abstract) |
It is very difficult to restore the images degraded by motion blur and additive noise. In conventional methods, regularization usually applies to all the images without considering local characteristics of the images. As a result, ringing artifacts appear in the edge regions and noise amplification is in the flat regions, as well. To solve these problems, we propose an adaptive iterative regularization method, using the way of regularization operator considering edge directions. In addition, we suggest an adaptive regularization parameter and an relaxation parameter. In conclusion, We have verified that the new method shows the suppression of the noise amplification in the flat regions, also does less ringing artifacts in the edge regions. Furthermore, it offers better images and improves the quality of ISNR, comparing with those of conventional methods. |
Å°¿öµå(Keyword) |
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ÀâÀ½ÁõÆø
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Image Restoration
Direction
Ringing Artifacts
Noise Amplification
Regularization Operator
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