¹Ú»ç Ȳ¹Î±¸

"´Ù¼öÀÇ ¹ý¿µ»ó Àü¹® ³í¹® ¹× ƯÇ㸦 ÅëÇÑ ´Ù·®ÀÇ ½Ã°Ç»ç°í °¨Á¤ °æ·Â º¸À¯ / ¹ý¿µ»ó¿¬±¸·Î ¼¼°èÀθí»çÀü µîÀç"

IBC '2000 Outstanding intellectuals of the 21st Century' (21¼¼±âÀÇ Å¹¿ùÇÑ 2000¸í Áö½ÄÀÎ) µîÀç
¿µ±¹ ÄÉÀӺ긮Áö ±¹Á¦ÀÎ¸í¼¾ÅÍ(IBC)°¡ ¹ß°£ÇÏ´Â '¼¼°è 100´ë Àü¹®°¡' (Top 100 Professionals) µîÀç

Ãæ³²´ëÇб³ °úÇмö»çÇаú °âÀÓ±³¼ö
Áß¾Ó´ëÇб³ ÷´Ü¿µ»ó´ëÇпø ¹Ú»ç (¹ý¿µ»ó Àü°ø)
°æÂûû °úÇмö»ç ÀÚ¹®À§¿ø
±¹¹æºÎÁ¶»çº»ºÎ °úÇмö»ç¿¬±¸¼Ò ÀÚ¹®À§¿ø
(»ç)Çѱ¹È¯°æº¸°ÇÇÐȸ Àü¹®À§¿ø
°æÂû¿¬¼ö¿ø ¹ý¿µ»ó °­»ç
îñ (ÁÖ)¹ý¿µ»óºÐ¼®¼­ºñ½º ´ëÇ¥ÀÌ»ç
°æÂûû °úÇмö»ç¿ä¿ø ¿µ»óº¸Á¤È­ ±â¹ý
´ë¹ý¿ø Ư¼ö°¨Á¤ÀÎ(¿µ»ó, Ç×°ø»çÁø ºÐ¾ß)
ÇؾȰæºñ¾ÈÀü¼­ ¿µ»óºÐ¼® Àü¹®°¡ ÀÚ¹® ÀηÂ
½Å±¸´ëÇб³, °æÀÏ´ëÇб³ µî ¿µ»óÇÐ °­ÀÇ
Ãæ³²´ëÇб³ °úÇмö»çÇаú ¿µ»óó¸® °­ÀÇ
°æ±â´ëÇб³ ¼­ºñ½º°æ¿µÀü¹®´ëÇпø APPI ¿Ü·¡±³¼ö
ÀÎõ¼Ò¹æº»ºÎ È­ÀçºÐ¼® Àü¹®À§¿ø
´ëÇѹα¹Å½Á¤Çùȸ Àü¹®À§¿ø
Çѱ¹µµ·Î±³Åë»ç°í°¨Á¤»çÇùȸ ±â¼úÀÚ¹®À§¿ø

¤ÑÂü¿© ÇÁ·ÎÁ§Æ®

½Ã³×¸¶¡¤¾Ö´Ï¸ÞÀ̼ǡ¤°ÔÀÓÀ» À§ÇÑ ¹Ì·¡Çü ÄÜÅÙÃ÷ÄÁ¹öÁ¯½º/ ¼­¿ïƯº°½Ã
µðÁöÅÐ À̹ÌÁö À§º¯Á¶ ºÐ¼® ±â¹ý ¿¬±¸/ ´ë°ËÂûû
Çѱ¹Çü µðÁöÅÐ ¿µ»ó»ç¾÷´Ü(BK4Â÷~7Â÷)/ ±³À°°úÇÐ ±â¼úºÎ
IR ÀÀ¿ëÄ«¸Þ¶ó ±â¼ú°³¹ß/ »ï¼ºÀüÀÚ
µðÀÚÀÎ ¿µ»ó(2D to 3D Conversion)/ MBC
µðÁöÅÐ À̹ÌÁö À§º¯Á¶ ºÐ¼® ±â¹ý ¿¬±¸2/ ´ë°ËÂûû
·Îµå¸Ê¿¡ »ç¿ëµÇ´Â µðÁöÅÐ Ä«¸Þ¶óÀÇ Æò±Õ ÆĶó¹ÌÅÍ °³¹ß/ ÇȽºÄÚ¸®¾Æ
»çÁøÀÇ ÃÔ¿µ ¸ÞÄ¿´ÏÁò À籸¼ºÀ» ÅëÇÑ Metadata ¿ªÃßÀû ¹× ºÐ¼® ¿¬±¸/ Çѱ¹Æ÷·»½ÄÇÐȸ
ÀÔü ½Ã½ºÅÛÀÇ ±³Â÷¸éÀû ÃÖÀûÈ­/ BK »êÇÐÇù·Â´Ü
DTI¿µ»óÀÇ 3D Modeling ±¸Ãà ½Ã½ºÅÛ/ °¡Ãµ±æº´¿ø ³ú°úÇבּ¸¼Ò
¿ÕÀÇ ¸éº¹ º¹¿ø º¹Á¦ Á¦ÀÛ±â¼ú/ ±¹¸³°í±Ã¹Ú¹°°ü
Content¿¡ µû¸¥ À̹ÌÁöÀÇ °¨¼º ¼±È£µµ ¿¬±¸/ ±³À°°úÇбâ¼úºÎ
½Ç°¨Çü 3D ÃÊ°í¼Ó ¿µ»ó ½Ã½ºÅÛ ±¸Çö/ BK »êÇÐÇù·Â´Ü
¸öÀº ¾Ë°í ÀÖ´Ù/ ±³À°°úÇбâ¼úºÎ
¼¼¿ùÈ£ ¼±Ã¼ Á¶»ç¸¦ À§ÇÑ ¿µ»ó »çÁø ºÐ¼®/ ¼¼¿ùÈ£¼±Ã¼Á¶»çÀ§¿øȸ
Âü»ç ´ç½Ã ¼¼¿ùÈ£ ¿µ»ó »çÁø ºÐ¼®/ °¡½À±â»ì±ÕÁ¦»ç°Ç°ú 4.16¼¼¿ùÈ£Âü»çƯº°Á¶»çÀ§¿øȸ
¼öÁß¼ö»ö¿µ»ó ºÐ¼®/ °¡½À±â»ì±ÕÁ¦»ç°Ç°ú 4.16¼¼¿ùÈ£Âü»çƯº°Á¶»çÀ§¿øȸ

¤Ñ¿¬±¸³í¹®

Original Status of Smartphone Video by Analyzing the Data Volume According to the Recording Time, Journal of Forensic Science 2021 (SCI)
2Â÷¿ø ¿µ»ó ¼Ó ƯÁ¤ ÇÇ»çü¿¡ ´ëÇÑ ±æÀÌ Á¤º¸ ÃßÃâ ¹æ¹ý¿¡ ´ëÇÑ ¿¬±¸. Á¦7ȸ ±º °úÇмö»ç °øµ¿ Çмú´ëȸ 2019
A Method of Smart Phone Original Video Identification By Using Unique Compression Ration, Forensic Science International, 2019 (SCI)
½º¸¶Æ®ÆùÀ¸·Î ÃÔ¿µµÈ ¿µ»óÀÇ Àç»ý ½Ã°£°ú µ¥ÀÌÅÍ·®ÀÇ »ó°ü°ü°è¸¦ ÅëÇÑ ¿µ»óÀÇ ¿øº» ¿©ºÎ Æǵ¶ ±â¹ý, Çѱ¹°úÇмö»çÇÐȸ, vol 13, no 2, 2019
Identification of Mobile Phone and Analysis of Original Version of Videos through a Delay Time Analysis of Sound Signals from Mobile Phone Videos, Journal of Forensic Science, Vol. 62, No. 06, 2017(SCI)
½º¸¶Æ®ÆùÀÇ ¼Ò¸® ½Å·ÎÀÇ ÀÔ·Â µô·¹ÀÌ ½Ã°£ ÃøÁ¤À» ÅëÇÑ ÇÚµåÆù ½Äº°¿¡ ´ëÇÑ ¿¬±¸. Á¦33ȸ Çѱ¹¹ý°úÇÐÇÐȸ Ãß°èÇмú´ëȸ, 2017
A Novel Forged Image Detection Method Using the Characteristics of Interpolation, Journal of Forensic Science, Vol. 58, No. 1, 2013 (SCI)
Identification Method for Digital Image Forgery and Filtering Region Through Interpolation,¡± Journal of Forensic Science, 2013 (SCI)
Source camera identification based on interpolation via lens distortion correction, Australian Journal of Forensic Sciences, 2014 (SCI)
A Method of Identifying Digital Images with Geometric Distortion, Australian Journal of Forensic Sciences, 2016 (SCI)
Correlation of Image Quality Preference-Based on Dynamic Range, Noise, Resolution, and Color Reproduction, 2012 International Conference on Networks and Information (ICNI 2012)
Enhanced Detection Method of Composite Image Region Through Interpolation, ITC-CSCC 2013
±¤ÇÐ ¿ø¸®¸¦ ÀÌ¿ëÇÑ »çÁøÀÇ Æ®¸®¹Ö À¯¹« ºÐ¼® ¹× º¹¿ø ±â¹ý¿¡ ´ëÇÑ ¿¬±¸, Çѱ¹°úÇмö»çÇÐȸ, vol 7, no 1, 2012
µðÁöÅÐ Ä«¸Þ¶óÀÇ ·»Áî ¿Ö°î º¸Á¤¿¡ »ç¿ëµÈ º¸°£ ÆÐÅÏ ÃßÃâÀ» ÅëÇÑ Ä«¸Þ¶ó ½Äº° ¹æ¹ý, Çѱ¹ÀÎÅͳÝÁ¤º¸ÇÐȸ, vol 13, no 3, 2012
À纸°£ÀÇ Æ¯¼ºÀ» ÀÌ¿ëÇÑ µðÁöÅÐ À̹ÌÁöÀÇ ÇÕ¼º ¿µ¿ª ¹× ÇÊÅ͸µ ¿µ¿ª °ËÃâ,¡± Çѱ¹¸ÖƼ¹Ìµð¾îÇÐȸ, vol 15, no 2, 2012
¹Ý»ç Àû¿Ü¼± »çÁøÀ» À§ÇÑ ÆòÆÇ ½ºÄ³³ÊÀÇ °³¹ß,¡± Çѱ¹ÄÜÅÙÃ÷ÇÐȸ, vol 11, no 4, 2011
¹Ù´Ú ÆÐÅÏÀ» ÀÌ¿ëÇÑ ´ÜÀÏ¿µ»ó ³»ÀÇ ÇÇ»çü Å©±â ÃßÃâ, Çѱ¹ÄÜÅÙÃ÷ÇÐȸ, vol 11, no 4, 2011
µðÁöÅÐ »çÁø ³»ÀÇ ÇÇ»çü ¼Ò½ÇÁ¡À» ÀÌ¿ëÇÑ ·»Áî È­°¢ ÃøÁ¤ ¿¬±¸,¡± Çѱ¹»çÁøÇÐȸ AURA, vol 22, 2010
µðÁöÅÐ Àû¿Ü¼± »çÁøÀÇ »ö Ç¥Çö¹ý¿¡ ´ëÇÑ ¿¬±¸, Çѱ¹»çÁøÇÐȸAURA, vol 21, 2009
¿µ»óÀÇ ±âÃÊÁ¤º¸ ÃßÃâÀ» À§ÇÑ Æ®¸®¹Ö µÈ ¿µ»ó ºñÀ² º¹¿ø¿¡ ´ëÇÑ ¿¬±¸, IEEK Summer Conference, vol 34, no 1, 2011
´ÜÀÏ ¿µ»óÀÇ 3Â÷¿ø À籸¼ºÀ» ÅëÇÑ ÇÇ»çüÀÇ Å©±â ¹× °Å¸® ÃøÁ¤ ¿¬±¸, ½Åȣó¸®ÇÕµ¿Çмú´ëȸ, vol 23, no 1, 2010
¿µ»óÀÇ ±âÃÊÁ¤º¸ ÃßÃâÀ» À§ÇÑ ·»Áî È­°¢ ¹× ÇÇ»çü °Å¸®ÃøÁ¤ ¿¬±¸, IEEK Summer Conference, vol 33, no 1, 2010
Optimization of the Depth of Field for Enhanced 3D Images, 2011 IEEE/SICE International Symposium on System Integration, 2011
±âÇÏÇÐÀûÀÎ º¯ÇüÀÌ °¡ÇØÁø µðÁöÅÐ À̹ÌÁöÀÇ ½Äº° ¹æ¹ý¿¡ ´ëÇÑ ¿¬±¸. Á¦30ȸ Çѱ¹¹ý°úÇÐÇÐȸ Ãß°èÇмú´ëȸ, 2015
Àΰø ½Å°æ¸Á(Neural Network)À» ÀÌ¿ëÇÑ ¿µ»ó¿¡ ±â·ÏµÈ ÈÑ¼ÕµÈ Â÷·®¹øÈ£ Æǵ¶ ±â¹ý¿¡ ´ëÇÑ ¿¬±¸. Á¦31ȸ Çѱ¹¹ý°úÇÐÇÐȸ Ãß°èÇмú´ëȸ, 2016

¤Ñ¼ö»ó°æ·Â

2006, The 15th Student Design Competition For Solar Energy in Architecture ÀÔ¼±
2006, The 3rd Docomomo Korea Design Competition ÀÔ¼±
2017, ¼­¿ïÁö¹æ°æÂûûÀå °¨»çÀå
2018, Albert Nelson Marquis Lifetime Achievement Award
2019, Á¦ÁÖÁö¹æ°æÂûûÀå °¨»çÀå
2020, (»ç)Çѱ¹µµ·Î±³Åë»ç°í°¨Á¤»çÇùȸ °¨»çÀå
2022, °æÂûûÀå °¨»çÀå
2023, ±¹¹æºÎÁ¶»çº»ºÎÀå °¨»çÀå

¤ÑƯÇã

À§º¯Á¶ À̹ÌÁö °ËÃâ ÀåÄ¡ ¹× ¹æ¹ý, ±×¸®°í ±× ¹æ¹ýÀ» ÄÄÇ»ÅÍ¿¡¼­ ½ÇÇà½ÃÅ°±â À§ÇÑ ÇÁ·Î±×·¥À» ±â·ÏÇÑ ¸Åü, Ãâ¿ø¹øÈ£ 1020120000392
·»Áî ¿Ö°î º¸Á¤¿¡ »ç¿ëµÈ ÆÐÅÏ °ËÃâÀ» ÅëÇÑ ÃÔ¿µ Ä«¸Þ¶ó ½Äº° ¹æ¹ý ¹× ±× ÀåÄ¡, Ãâ¿ø¹øÈ£ 1020120043028
À§º¯Á¶ À̹ÌÁö °ËÃâ ÀåÄ¡ ¹× ¹æ¹ý, Ãâ¿ø¹øÈ£ 1020120133181
ÈÞ´ëÆù Ä«¸Þ¶ó·Î ÃÔ¿µµÈ µ¿¿µ»ó µ¥ÀÌÅÍ¿¡ ´ëÇÑ ÆíÁý À¯¹«ºÐ¼® ¹æ¹ý ¹× ±× ÀåÄ¡
±âÇÏÇÐÀû º¯Çü À̹ÌÁö ½Äº°¹æ¹ý ¹× ÀåÄ¡

¤ÑÀÚ¹®

±¹¹æºÎÁ¶»çº»ºÎ
´ë°ËÂûû
°æÂûû

Service

°í¼®¿î

¹ý¿µ»óÃÔ¿µÆÀ(Forensic Imaging Photography)

»ó¸í´ëÇб³ ¿¹¼úµðÀÚÀδëÇпø
»çÁø¿µ»ó¹Ìµð¾îÇаú
ºñÁÖ¾ó¾ÆÆ®(À̹ÌÁö»çÀ̾ð½º) M.A
¤Ñ¿µ»ó ÃÔ¿µ Âü¿© ÇÁ·ÎÁ§Æ®

Çѱ¹ÀúÀÛ±ÇÀ§¿øȸ / º´¹«Ã» / ±¹¸³¼­¿ï°úÇаü / º¸°Çº¹ÁöºÎƯÇãû /°í¿ë³ëµ¿ºÎ
³ó¸²Ãà»ê½ÄÇ°ºÎ / »ï¼ºÀüÀÚ / Çö´ë·ÎÅÛ / LG À̳ëÅØ / ±â¾ÆÀÚµ¿Â÷
Çö´ë¿¥ÄÚ / Çö´ë¿£Áö´Ï¾î¸µ / ÄÚ¿¢½º / SKT / ½Å¶ó¸é¼¼Á¡
Çѱ¹¾á¼¾ / GKL / CJ¿À¼îÇÎ / À¯´Ï¼¼ÇÁ / ¼¼Á¾ÇдçÀç´Ü µî

¤Ñ¿¬±¸³í¹®

MATLABÀ» È°¿ëÇÑ µðÁöÅÐ À̹ÌÁöÀÇ ³ëÀÌÁî ÃøÁ¤¿¡ °üÇÑ ¿¬±¸ : Median Filter¸¦ ¾Ë°í¸®ÁòÀ¸·Î »ç¿ëÇÑ ³ëÀÌÁî ÃøÁ¤ ¹æ¹ý
A Study on Noise Measurement of Digital Images in Utilization og MATLAB, 2014

Service

±è¼º¹Î

±â¼úÀÚ¹®À§¿ø(Technical Adviser)-Imaging Process / Forensic Image

µ¿±¹´ëÇб³ ÀüÀÚ°øÇаú ¹Ú»ç Á¹¾÷
(ÁÖ)¿ÀÇÂÀ¥ Á¤º¸Åë½Å ¿¬±¸¿ø
¢ß¼¼¹ÙºñµåÄÚ¾î ´ëÇ¥ÀÌ»ç
LGÀüÀÚ CTOºÎ¹® (Ã¥ÀÓ¿¬±¸¿ø)
¤ÑÂü¿© ÇÁ·ÎÁ§Æ®

IP °øÀ¯±â °³¹ß/ ARM7TDMI (Conexant CX84200) ±â¹Ý ±¹³»ÃÖÃÊ ³×Æ®¿öÅ© ÇÁ¸°ÅÍ ¼­¹ö ±â´É žÀçµÈ IP °øÀ¯±â
MPEG-2 to 4 Æ®·£½ºÄÚ´õ °³¹ß/ ARM7TDMI (Conexant CX84200) °ú DSP (IT TMS320C6416) ±â¹Ý ½Ç½Ã°£ µ¿¿µ»ó Æ÷¸Ë º¯È¯±â °³¹ß
°ÔÀÓ±â/ Z80 uP¿Í Altera FPGA (FLEXEPF10KL84)¸¦ ÀÌ¿ëÇÑ °íÁ¤½Â·üÀ» Á¦°øÇÏ´Â °ÔÀÓ±â
(´ëÇпø)Â÷¼¼´ë Áö´ÉÇü ¹æ¼Û±â¼ú ¿¬±¸ °³¹ß
(´ëÇпø)Bio-imageÀÇ MPEG-7 ±â¼úÀÚ¿¡ ÀÇÇÑ ÀÚµ¿°ËÃâ ¹× È®·üÀû ºÐ¼®¿¡ °üÇÑ ¿¬±¸
(´ëÇпø)±¸Á¶À¯»ç¼º¿¡ ±â¹ÝÇÑ ´Ü¹éÁú ±¸Á¶ ºÐ·ù ¿¬±¸°³¹ß/ ETRI
(´ëÇпø)H.264/AVC±â¹ÝÀÇ Àå¸éÀüȯ °ËÃâ±â °³¹ß/ (ÁÖ)ITMAGIC
(´ëÇпø)Future Contents Convergence Cluster/ ¼­¿ïƯº°½Ã
ºñµð¿À º¸¾È±â¹ý °³¹ß/ »ï¼ºÁ¾ÇÕ±â¼ú¿ø

¤ÑLGÀüÀÚ °æ·Â

Â÷¼¼´ë 3D Camera H/W ±â¼ú°³¹ß
TOF Ä«¸Þ¶ó ¼±Çà°³¹ß
½º¸¶Æ® ³ÃÀå°í
¢ßLG ÁöÁÖ»ç ÁÖ°ü À¶º¹ÇÕ TFT
Vehicle Localization
Electronic Horizon ¼±Çà°³¹ß
OADF (Open Auto Drive Forum) ´ã´ç
SENSORIS (SENSOR Interface Spec.)
ADASIS (ADAS Interface Spec.)
5GAA (5G Automotive Association) ´ã´ç
HD-MAP Window (HERE, TomTom, EB µî)

¤Ñ¼ö»ó°æ·Â

2014, (ÁÖ)LG Future Challenger ¼ö»ó(ÃÖ¿ì¼ö»ó)
2015, (ÁÖ)LG Future Challenger ¼ö»ó(¿ì¼ö»ó)

Service

Á¶µÎÈñ

±â¼ú°³¹ßÀü¹®À§¿ø(Technical Adviser)-Imaging Process / Forensic Image

Áß¾Ó´ëÇб³ ÷´Ü¿µ»ó´ëÇпø ¿µ»óÇÐ ¹Ú»ç Á¹¾÷
Áß¾Ó´ëÇб³ ÷´Ü¿µ»ó´ëÇпø µðÁöÅаúÇлçÁø¿¬±¸½Ç ¼±ÀÓ¿¬±¸¿ø
»ó¸í´ëÇб³ / ¼­¿ø´ëÇб³ / °æÈñ¿¹¼úÀü¹®Çб³ / (ÁÖ)EPSON µî °­ÀÇ
¤ÑÂü¿© ÇÁ·ÎÁ§Æ®

µðÁöÅÐ Ä÷¯ »çÁø ÇÁ¸°ÅÍÀÇ ÇØ»óµµ ÃøÁ¤ ¹æ¹ý °³¹ß/ ±â¼úÇ¥ÁØ
µðÁöÅлçÁø ºÐ¾ßÀÇ ±¹Á¦±Ô°Ý ºÎÇÕÈ­ ¿¬±¸(1)/ »ê¾÷ÀÚ¿øºÎ(±â¼úÇ¥ÁØ¿ø)
ȯ°æ»öäºÐ¼® ÇÁ·Î±×·¥ °³¹ß/ Çѱ¹Ä÷¯¾ØµåÆмÇÆ®·£µå ¼¾ÅÍ
DCRC(µðÁöÅÐ ÄÜÅÙÃ÷ ¸®¼Ò½º ¼¾ÅÍ) µðÁöÅÐ ÄÜÅÙÃ÷ »ý»ê ¹× À¯Åë±â¹Ý±¸Ãà»ç¾÷/ ±â¼úÇ¥ÁØ¿ø
½Ã³×¸¶¡¤¾Ö´Ï¸ÞÀ̼ǡ¤°ÔÀÓÀ» À§ÇÑ ¹Ì·¡Çü ÄÜÅÙÃ÷ÄÁ¹öÁ¯½º Ŭ·¯½ºÅÍ/ ¼­¿ïƯº°½Ã
µðÁöÅлçÁø ºÐ¾ß ±¹Á¦±Ô°Ý ºÎÇÕÈ­ ¿¬±¸(2)/ Áö½Ä°æÁ¦ºÎ
Çѱ¹ÇüµðÁöÅпµ»ó»ç¾÷´Ü/ ±³À°°úÇбâ¼úºÎ
Photographic expert knowledge model ±â¼ú°³¹ß¿¡ °üÇÑ ±â¼úÀÚ¹®/ ¼­¿ïƯº°½Ã
´ë±â¿À¿°ÃøÁ¤µµ VR Æijë¶ó¸¶ Á¦ÀÛ ¿ë¿ª/ ȯ°æºÎ
Àΰ£ÀÇ ½ÃÁö°¢Æ¯¼ºÀ» °í·ÁÇÑ ½º¸¶Æ® È­ÀÌÆ® ¹ë·±½º Á¶Àý±â¼ú/ Çѱ¹¿¬±¸Àç´Ü
Áõ°Å¹° ¿µ»óºÐ¼® Å×ÀÌºí °³¹ß ¹× Á¦ÀÛ/ °æÂûû
÷´Ü±³À°¿ëÀåºñÁ¦ÀÛ ±³À°ÇÁ·Î±×·¥ °³¹ß ¹× ½Ã¹ü¿î¿µ (±¹¸³°úõ°úÇаü °úÇмö»ç´ë) / ÷´Ü±³À°Àåºñ ¹× ±³À°ÇÁ·Î±×·¥ °³¹ß/ ±³À°°úÇбâ¼úºÎ
SX-70 Ä«¸Þ¶ó µðÁöÅРȸ·Î °³¹ß/ EyeTag
°úÇмö»ç °ø°£±¸¼º ¹× Àåºñ¡¤ÇÁ·Î±×·¥ °³¹ß»ç¾÷ (±¹¸³±¤ÁÖ°úÇаü °úÇмö»ç´ë)/ ¹Ì·¡Ã¢Á¶°úÇкÎ

¤Ñ¿¬±¸³í¹®

"Color Shift Model-Based Segmentation and Fusion for Digital Auto Focusing" The Journal of Imaging Science and Techology, Vol. 51, No. 4, pp. 368-380, July/August 2007.
"Regularized restoration using image fusion for digital auto-focusing," IEEE Trans. Circuits and Systems for Video Technology, Vol. 17, No. 10, pp. 1360-1369, October 2007(SFCC, NRL, HNRC).
Color correction for multiple light sources using profile correction system", IS&T Journal of Imaging Scuebce abd Technology, Vol. 53, No. 5, pp. 050501-8, September 2009 (NRF, MEST, SFCC, HNRC, MKE).
"Color Analysis on a portable sphere for custom white balance with multiple illuminations", IET Electronics Letters, Vol. 46, No. 2, pp. 129-130, January 2010.
"Computational filter aperture approach for single view multi focusing" / °³ÃÖ±¹: ÀÌÁýÆ®(Ä«ÀÌ·Î) / IEEE International Conference on Image Processing(ICIP) / pp. 1541-1544
"Recycling of Histogram Bins for improving Depth of Field and Contrast" / NIRMA UNIVERSITY / INTERNATIONAL CONFERENCE ON ENGINEERING, NUICONE / IEEE / pp. 1-5
µðÁöÅÐ Çö¹Ì°æ »çÁøÀÇ ÇÇ»ç°è½Éµµ È®Àå¿¡ °üÇÑ ¿¬±¸ / Çѱ¹»çÁøÇÐȸ AURA No. 13
µðÁöÅÐ »çÁøÀ» ÀÌ¿ëÇÑ Á¢»ç»çÁø¿¡¼­ÀÇ ÃÊÁ¡¿µ¿ª Á¶Á¤¿¡ °üÇÑ ¿¬±¸ / ¿µ»ó¿¹¼úÇÐȸ Vol. 7
º¹¼ö Á¶¸®°³¸¦ ÀÌ¿ëÇÑ ÃÊÁ¡¸é °ËÃâ¿¡ °üÇÑ ¿¬±¸ / ¿µ»ó¿¹¼úÇÐȸ Vol. 8
µðÁöÅÐ »çÁø¿¡¼­ °Å¸®Á¤º¸ ÃßÁ¤À» À§ÇÑ ´ÜÀÏ·»Áî °³¹ß / AURA No. 15
´Ü¹æÇâ °íÁÖÆÄ ¼ººÐ Á¦°Å¸¦ ÅëÇÑ ÀÎü ¿¬¼Ó Àý´Ü¸é ¿µ»óÀÇ °³¼± ¹æ¹ý¿¡ °üÇÑ ¿¬±¸ / AURA No. 17, pp. 102-110. 2007. 7
Á¶¸íº° Ä«¸Þ¶ó ÇÁ·ÎÆÄÀÏÀ» ÀÌ¿ëÇÑ ÃÔ¿µ ¿µ»óÀÇ »ö ÀçÇö¿¡ °üÇÑ ¿¬±¸ / AURA No. 18, pp. 42-49, 2008. 2
µðÁöÅÐ »çÁø¿µ»óÀÇ Å©±âÁ¶Àý°úÁ¤¿¡¼­ À¯½ÇµÇ´Â Á¤º¸¸¦ ÀÌ¿ëÇÑ ºñÆ®½ÉµµÀÇ È®Àå¿¡ °üÇÑ ¿¬±¸ / Çѱ¹ÄÜÅÙÃ÷ÇÐȸ Á¦9±Ç Á¦4È£, pp. 189-197, 2009. 4
±×·¹ÀÌ º¼À» ÀÌ¿ëÇÑ Á¶¸íÀÇ Á¶»ç°¢µµ ÃßÀû°ú Ä¿½ºÅÒ È­ÀÌÆ®¹ë·±½º Á¶Àý ¿¬±¸ / AURA No. 21, pp. 76-85, 2009. 8
µðÁöÅÐ »çÁøÀ» ÀÌ¿ëÇÑ È¿À²Àû Áö¹® °ËÃâ¿¡ °üÇÑ ¿¬±¸ / Çѱ¹¹ý°úÇÐȸ
ÇÚµåÆù Ä«¸Þ¶óÀÇ È­Áú ºÐ¼®¿¡ °üÇÑ ¿¬±¸ / HCI ÇÐȸ

¤ÑƯÇã

Á¶¸®°³ ÀåÄ¡ ¹× À̸¦ ±¸ºñÇÑ ÃÔ»óÀåÄ¡, Ä÷¯ ä³ÎÀÇ À̵¿À» ±â¹ÝÀ¸·Î ÇÑ ÀÚµ¿ÃÊÁ¡º¹¿øÀåÄ¡ ¹× ¹æ¹ý 10-0935392-0000
º¹¼öÀÇ ±¤¿øÀ» Æ÷ÇÔÇÏ´Â ¿µ»óÀÇ »ö»ó º¸Á¤ ÀåÄ¡ ¹× ¹æ¹ý 10-2009-0097339

¤ÑÀú¼­

EPSON°ú ÇÔ²²ÇÏ´Â µðÁöÅлçÁø A to Z / °øÀúÀÚ / EPSON Photo Academy
7.0 Tesla MRI Brain Atlas:: in vivo Atlas with Cryomacrotome Correlation / ZangHee Cho(Editor), DongHwan Har, DoHee Cho, µî °øÀú(22¸í) / Springer Verlag Press(ISBN; 978-1-60761-153-1)

Service

¹ÚÇüÁÖ

±â¼ú°³¹ßÀü¹®À§¿ø(Technical Adviser)-Image Quality Assessment

Áß¾Ó´ëÇб³ ¿¹¼ú´ëÇÐ »çÁøÇаú
ºê·è½º »çÁøÇб³ .., U.S.A
Áß¾Ó´ëÇб³ ÷´Ü¿µ»ó´ëÇпø ¿µ»óÇаú
È«ÀÍ´ëÇб³ ¹Ì¼ú´ëÇÐ µðÀÚÀÎÇкΠ½Ã°¢µðÀÚÀÎÇаú
Áß¾Ó´ëÇб³ ¹®È­ÄÜÅÙÃ÷±â¼ú¿¬±¸¿ø
¤Ñ°æ·Â»çÇ× (Âü¿© ÇÁ·ÎÁ§Æ®)

Áß¾Ó´ëÇб³ ¹®È­±â¼úÄÜÅÙÃ÷¿¬±¸¿ø ¿¬±¸±³¼ö
°è¿ø¿¹¼ú´ëÇб³ »çÁø¿¹¼úÇаú ¿Ü·¡±³¼ö
È«ÀÍ´ëÇб³ ¹Ì¼ú´ëÇÐ µðÀÚÀÎÇкΠ½Ã°¢µðÀÚÀÎÇаú °âÀÓ±³¼ö
Áß¾Ó´ëÇб³ »êÇÐÇù·Â´Ü ±³À°°úÇбâ¼úºÎ ÇмúÁøÈïÀç´Ü(ÄÜÅÙÃ÷¿¡ µû¸¥ À̹ÌÁöÀÇ °¨¼º ¼­È£µµ¿¬±¸) ÀüÀÓ¿¬±¸¿ø
Áß¾Ó´ëÇб³ »êÇÐÇù·Â´Ü ±³À°°úÇбâ¼úºÎ(°úÇÐâÀÇÀç´Ü ¿¬±¸) ÀüÀÓ¿¬±¸¿ø
Áß¾Ó´ëÇб³ »êÇаøµ¿¿¬±¸(¹× ±³À° ÄÜÅÙÃ÷ Á¦ÀÛ°ø±Þ) ¼±ÀÓ¿¬±¸¿ø
Áß¾Ó´ëÇб³ »êÇÐÇù·Â´Ü ´ë°ËÂûû¿¬±¸¿ë¿ª»ç¾÷(µðÁöÅÐ À̹ÌÁö À§º¯Á¶ºÐ¼® ±â¹ý ¿¬±¸ll) ¼±ÀÓ¿¬±¸¿ø
Áß¾Ó´ëÇб³ »êÇÐÇù·Â´Ü »êÇÐ °øµ¿¿¬±¸(¹× ±³À° ÄÜÅÙÃ÷ Á¦ÀÛ°ø±Þ) ¼±ÀÓ¿¬±¸¿ø
Áß¾Ó´ëÇб³ »êÇÐÇù·Â´Ü »ï¼ºÀüÀÚ¿¬±¸¿ë¿ª»ç¾÷(IR ÀÀ¿ëÄ«¸Þ¶ó ±â¼ú°³¹ß) °øµ¿¿¬±¸¿ø
Áß¾Ó´ëÇб³ »êÇÐÇù·Â´Ü ´ë°ËÂûû¿¬±¸¿ë¿ª»ç¾÷(µðÁöÅÐ À̹ÌÁö À§º¯Á¶ºÐ¼® ±â¹ý ¿¬±¸) °øµ¿¿¬±¸¿ø ¿Ü ´Ù¼ö

¤Ñ¿¬±¸³í¹®

Preferred Scene Evaluation Based on Experimental Approach for the Optimum Parameters
Experimental Approach for the Optimum Parameters of Preferred Images
Correlation of Image Quality Preference-Based on Dynamic Range, Noise, Resolution, and Color Reproduction
Survey on the Enhanced Image Quality Based on Objective Factors
Noise Value Differences of DSLR Video between Editing Programs after Rendering Process
The Correlation between Image Preference and Image Quality Factors - Focus on ISO Objective and Subjective Image Quality Assessments
The Optimum Exposure Decision for the Enhanced Image Performance Using a Digital Camera - Focusing On Exposure To The Right (ETTR) Method
Scanner certification tool for the standardization of digitalized documents
Forensic Photography from Alphonse Bertillon to CSI
Improved Measurement of LCD Grayscale Linearity by Contraolling Luminance
Identification of Digital Images with the AdobeTM Extensible Metadata Platform
Correlation Test between Digital Camera Parameters and Visual Noises
Auto Flash Performance Test Using Exposure Accuracy

¤ÑSCI Çмú ƯÇã

Áß±¹°ú Çѱ¹ÀÇ K-POP ¹æ¼Û¿µ»óÀÇ Ä«¸Þ¶ó ¿öÅ© ½ºÆåÆ®·³ ºÐ¼® ÆÐÅÏ ºñ±³ ¿¬±¸/ Çѱ¹°úÇп¹¼úÆ÷·³
Àι°»çÁøÀÇ °¨¼º ¼±È£µµ ÃøÁ¤ ÀÚµ¿È­ ÇÁ·Î±×·¥ ¿¬±¸/ Çѱ¹°úÇп¹¼úÆ÷·³
ÀÎü¿¬¼ÓÀý´Ü¸é ¿µ»ó °³¼±À» À§ÇÑ ¹æ»çÇü-³òÄ¡ÇÊÅÍ À¶ÇÕ ¼³°è/ Çѱ¹°úÇп¹¼úÆ÷·³
Digital Image Quality Assessment Based on Standard Normal Deviation/ Çѱ¹ÄÜÅÙÃ÷ÇÐȸ
ÀÏ¹Ý Àå¸éÀÇ Á¤±ÔºÐÆ÷ ºÐ¼®À» ±â¹ÝÀ¸·Î ÇÑ È­Áú ÃøÁ¤ ¸ðÇü/ Çѱ¹°¨¼º°úÇÐȸ
Source Camera Identification Based on Interpolation via Lens Distortion Correction/ Taylor and Francis Ltd.
¼±È£µµ ³ôÀº À̹ÌÁöÀÇ ÃÖÀû ÆĶó¹ÌÅÍ ¹üÀ§ ¿¬±¸: ´ÙÀ̳»¹Í ·¹ÀÎÁö, Ä÷¯, ÄÜÆ®¶ó½ºÆ®¸¦ Áß½ÉÀ¸·Î/ Çѱ¹ÄÜÅÙÃ÷ÇÐȸ
°´°üÀûÀÎ È­Áú Æò°¡ ¹æ¹ý¿¡ °üÇÑ ¿¬±¸: µ¿Àû Æø, ³ëÀÌÁî, ÇØ»óµµ, »öÀçÇö¼º, ¼±È£µµ/ Çѱ¹ÄÜÅÙÃ÷ÇÐȸ
°´°üÀû È­Áú Æò°¡ ¿ä¼ÒµéÀ» ÀÚ±ØÀ¸·Î ÇÑ ´ÙÁöÅÐ Ä«¸Þ¶óÀÇ È­Áú Æò°¡ ¾ð¾î ¿¬±¸/ Çѱ¹»çÁøÇÐȸ
È­Áú Æò°¡ ÀåÄ¡ ¹× ±× ¹æ¹ýÀ» ÄÄÇ»ÅÍ¿¡¼­ ½ÇÇà½ÃÅ°±â À§ÇÑ ÇÁ·Î±×·¥À» ±â·ÏÇÑ ±â·Ï¸Åü 10-2012-0009345
Subjective Image Quality Assessment based on Objective Image Quality Measurement Factors/ IEEE Transactions on Consumer Electronics
°´°üÀû È­Áú Æò°¡¿Í ÁÖ°üÀû È­Áú Æò°¡ÀÇ »ó°ü°ü°è ¿¬±¸/ Çѱ¹ÄÜÅÙÃ÷ÇÐȸ
ETTR ³ëÃâ ¹æ¹ýÀ» È°¿ëÇÑ µðÁöÅÐ Ä«¸Þ¶óÀÇ È­Áú Çâ»ó/ Çѱ¹ÄÜÅÙÃ÷ÇÐȸ
»öÂ÷ ÃøÁ¤ÀÌ °¡´ÉÇÑ ÀüÀÚ¹®¼­¿ë ½ºÄ³³Ê ÀÎÁõ Æò°¡µµ±¸ °³¹ß/ Çѱ¹»öäÇÐȸ
µðÁöÅÐÄ«¸Þ¶óÀÇ ³ëÀÌÁî°¨¼Ò±â´ÉÀÌ À̹ÌÁö Çػ󵵿¡ ¹ÌÄ¡´Â ¿µÇâ/ Çѱ¹ÄÜÅÙÃ÷ÇÐȸ
Àû¿Ü¼±Æí±¤ÇÊÅ͸¦ ÀÌ¿ëÇÑ Àû¿Ü¼±»çÁøÀÇ È­Áú°³¼±/ Çѱ¹»çÁøÇÐȸ
µðÁöÅÐ Ä«¸Þ¶ó ÆĶó¹ÌÅÍ¿Í ºñÁÖ¾ó ³ëÀÌÁî »ó°ü°ü°è ¿¬±¸/ Çѱ¹»çÁøÇÐȸ
À¥ ±â¹Ý ¾îµµºñ ¸ÞŸµ¥ÀÌÅÍÀÇ È°¿ë ¹æ¾È ¿¬±¸/ Çѱ¹»çÁøÇÐȸ

¤ÑÀú¼­

¹Ì±¹ ÃʵîÇб³ ´ÙÀ̾ / Æò¹Î»ç
¹Ì¼ÇÀ» µû¶ó°¡´Â Ķ¸®Æ÷´Ï¾Æ À̾߱â / Æò¹Î»ç