{"id":7168,"date":"2019-05-30T20:43:53","date_gmt":"2019-05-30T11:43:53","guid":{"rendered":"http:\/\/www.gisdeveloper.co.kr\/?p=7168"},"modified":"2020-05-28T10:25:18","modified_gmt":"2020-05-28T01:25:18","slug":"python%ea%b3%bc-opencv-53-%ec%9d%b4%eb%af%b8%ec%a7%80%ec%97%90%ec%84%9c-%ec%9e%a1%ec%9d%8c-%ec%a0%9c%ea%b1%b0image-denoising","status":"publish","type":"post","link":"http:\/\/www.gisdeveloper.co.kr\/?p=7168","title":{"rendered":"Python\uacfc OpenCV \u2013 53 : \uc774\ubbf8\uc9c0\uc5d0\uc11c \uc7a1\uc74c \uc81c\uac70(Image Denoising)"},"content":{"rendered":"<p>\uc774 \uae00\uc758 \uc6d0\ubb38\uc740 https:\/\/opencv-python-tutroals.readthedocs.io\/en\/latest\/py_tutorials\/py_photo\/py_non_local_means\/py_non_local_means.html \uc785\ub2c8\ub2e4.<\/p>\n<p>\uc774 \uae00\uc5d0\uc11c\ub294 \uc774\ubbf8\uc9c0 \uc548\uc758 \uc7a1\uc74c\uc744 \uc81c\uac70\ud558\uae30 \uc704\ud574 Non-local Means \uc7a1\uc74c\uc81c\uac70 \uc54c\uace0\ub9ac\uc998\uc5d0 \ub300\ud574 \uc0b4\ud3b4\ubd05\ub2c8\ub2e4. \uc774\ub97c \uc704\ud55c OpenCV\uc5d0\uc11c \uc81c\uacf5\ud558\ub294 cv2.fastNlMeansDenoising(), cv2.fastNlMeansDenoisingColored() \ub4f1\uacfc \uac19\uc740 \ud568\uc218\ub4e4\uc758 \ucc28\uc774\uc810\uc5d0 \ub300\ud574\uc11c\ub3c4 \uc0b4\ud3b4\ubd05\ub2c8\ub2e4.<\/p>\n<p>\uc774\uc804 \uae00\uc5d0\uc11c, \uac00\uc6b0\uc2dc\uc548 \ube14\ub7ec\ub9c1, \uba54\ub514\uc548 \ube14\ub7ec\ub9c1 \ub4f1\uacfc \uac19\uc740 \uc774\ubbf8\uc9c0\ub97c \ubd80\ub4dc\ub7fd\uac8c \ub9cc\ub4dc\ub294 \uae30\ubc95\uc5d0 \ub300\ud574 \uc0b4\ud3b4 \ubcf4\uc558\uc73c\uba70, \uc774\ub7f0 \uc5f0\uc0b0\uc774 \uc5b4\ub290 \uc815\ub3c4\uc758 \uc7a1\uc74c\uc744 \uc81c\uac70\ud560 \uc218 \uc788\uc5c8\uc74c\uc744 \ubcf4\uc600\uc2b5\ub2c8\ub2e4. \uc774\ub4e4 \ubc29\uc2dd\uc740, \ud53d\uc140 \uc8fc\uc704\uc758 \ub2e4\ub978 \ud53d\uc140\ub4e4 \uba87\uac1c\ub97c \ucde8\ud574 \uac12\ub4e4\uc758 \ud3c9\uade0\uac12\ub4f1\uc73c\ub85c \uc6d0\ub798\uc758 \uac12\uc744 \ubcc0\uacbd\ud569\ub2c8\ub2e4. \uc694\uc57d\ud558\uba74, \uc774\ub7f0 \ubc29\uc2dd\uc758 \uc7a1\uc74c \uc81c\uac70\ub294 \uc790\uc2e0\uc758 \uc774\uc6c3\uc5d0 \ud55c\ud574\uc11c\ub9cc \uc774\ub8e8\uc5b4\uc9d1\ub2c8\ub2e4.<\/p>\n<p>\uc7a1\uc74c\uc5d0\ub294 \uc5b4\ub5a4 \uc131\uc9c8\uc774 \uc788\uc2b5\ub2c8\ub2e4. \uc7a1\uc74c\uc740 \uc77c\ubc18\uc801\uc73c\ub85c \uc81c\ub85c \ud3c9\uade0(Zero Mean)\uc744 \uac00\uc9c4 \ubb34\uc791\uc704\ub85c \uc0dd\uaca8\ub0a9\ub2c8\ub2e4. \uc7a1\uc74c \ud53d\uc140, <img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/www.gisdeveloper.co.kr\/wp-content\/uploads\/2019\/05\/202a4c39e0ace29877f6ac2f0bd1e0e4f0a936bd.png\" alt=\"\" width=\"83\" height=\"15\" class=\"alignnone size-full wp-image-7169\" \/>\uc744 \uc0b4\ud3b4\ubd05\uc2dc\ub2e4. <img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/www.gisdeveloper.co.kr\/wp-content\/uploads\/2019\/05\/2aa528e29c4df6e3a7e44783f02f45e46012b948.png\" alt=\"\" width=\"16\" height=\"12\" class=\"alignnone size-full wp-image-7170\" \/>\ub294 \ud53d\uc140\uc758 \ucc38 \uac12\uc774\uace0 <img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/www.gisdeveloper.co.kr\/wp-content\/uploads\/2019\/05\/413f8a8e40062a9090d9d50b88bc7b551b314c26.png\" alt=\"\" width=\"11\" height=\"8\" class=\"alignnone size-full wp-image-7171\" \/>\uc740 \uadf8 \ud53d\uc140\uc758 \uc7a1\uc74c\uc785\ub2c8\ub2e4. \ub2e4\ub978 \uc774\ubbf8\uc9c0\ub4e4\uc5d0\uc11c \ub3d9\uc77c\ud55c \ud53d\uc140\ub4e4\uc744(<img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/www.gisdeveloper.co.kr\/wp-content\/uploads\/2019\/05\/75e27f04188974063be3230dca208cd495b77ce1.png\" alt=\"\" width=\"16\" height=\"12\" class=\"alignnone size-full wp-image-7172\" \/>\uc774\ub77c \ud569\uc2dc\ub2e4) \ub9ce\uc774 \ucde8\ud574\uc11c, \uc774\ub4e4\uc758 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud569\ub2c8\ub2e4. \uc774\uc0c1\uc801\uc73c\ub85c\ub294 \uc7a1\uc74c\uc758 \ud3c9\uade0\uc740 0\uc774\ubbc0\ub85c <img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/www.gisdeveloper.co.kr\/wp-content\/uploads\/2019\/05\/c96f201555dd4939095d26ecbfb68bf2e4fa1189.png\" alt=\"\" width=\"49\" height=\"12\" class=\"alignnone size-full wp-image-7173\" \/>\uc774\uc5ec\uc57c \ud569\ub2c8\ub2e4.<\/p>\n<p>\uac04\ub2e8\ud55c \uc124\uc815\uc744 \ud1b5\ud574 \uc774\uac83\uc744 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uace0\uc815 \uce74\uba54\ub77c\ub97c \uc5b4\ub5a4 \uc704\uce58\uc5d0 \uba87\ucd08\uac04 \ub193\uc2b5\ub2c8\ub2e4. \uadf8\ub7ec\uba74 \ub3d9\uc77c\ud55c \uc7a5\uba74\uc5d0 \ub300\ud55c \ub9ce\uc740 \uc774\ubbf8\uc9c0 \ub610\ub294 \ud504\ub808\uc784\uc744 \uc5bb\uc744 \uc218 \uc788\uaca0\uc8e0. \uadf8\ub7ec\uace0\ub294 \ucc0d\ud78c \ubaa8\ub4e0 \ud504\ub808\uc784\uc758 \ud3c9\uade0\uc744 \uad6c\ud558\ub294 \ucf54\ub4dc\ub97c \uc791\uc131\ud569\ub2c8\ub2e4. \uccab\ubc88\uc9f8 \ud504\ub808\uc784\uacfc \ucd5c\uc885 \uacb0\uacfc\ub97c \ube44\uad50\ud574 \ubd05\uc2dc\ub2e4. \uc7a1\uc74c\uc774 \uac10\uc18c\ub41c \uac83\uc744 \ubcfc \uc218 \uc788\uc744 \uac83\uc785\ub2c8\ub2e4. \ubd88\ud589\ud788\ub3c4 \uc774 \uac04\ub2e8\ud55c \ubc29\ubc95\uc740 \uce74\uba54\ub77c\uc640 \uc6c0\uc9c1\uc774\ub294 \uc7a5\uba74\uc5d0 \ub300\ud574\uc11c\ub294 \uc801\uc6a9\ud558\uae30 \uc5b4\ub835\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\uc544\uc774\ub514\uc5b4\ub294 \uac04\ub2e8\ud55c\ub370, \ube44\uc2b7\ud55c \uc774\ubbf8\uc9c0\uc5d0 \ub300\ud55c \uc7a1\uc74c\uc758 \ud3c9\uade0\uac12\ub4e4\uc774 \ud544\uc694\ud569\ub2c8\ub2e4. \uc774\ubbf8\uc9c0\uc5d0\uc11c \uc791\uc740 \uc708\ub3c4\uc6b0(5&#215;5 \ud06c\uae30\ub85c \ud569\uc2dc\ub2e4)\ub97c \uace0\ub824\ud574 \ubd05\uc2dc\ub2e4. \ud558\ub098\uc758 \uc774\ubbf8\uc9c0 \uc548\uc5d0\ub294 \ub3d9\uc77c\ud55c \uc870\uac01\uc774 \ub2e4\ub978 \uc704\uce58 \uc5ec\ub7ec \uacf3\uc5d0 \uc874\uc7ac\ud560 \uac00\ub2a5\uc131\uc774 \ud07d\ub2c8\ub2e4. \ub54c\ub54c\ub85c \uc870\uac01 \uadfc\ucc98\uc5d0 \ub098\ud0c0\ub0a0 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc720\uc0ac\ud55c \uc870\uac01\ub4e4\uc744 \ud65c\uc6a9\ud574\uc11c \uc774\ub4e4\uc758 \ud3c9\uade0\uc744 \uad6c\ud55c\ub2e4\uba74 \uc5b4\ub5a8\uae4c\uc694? \uc544\ub798\uc758 \uadf8\ub9bc\uc744 \ubd05\uc2dc\ub2e4.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/www.gisdeveloper.co.kr\/wp-content\/uploads\/2019\/05\/nlm_patch.jpg\" alt=\"\" width=\"400\" height=\"251\" class=\"aligncenter size-full wp-image-7175\" \/><\/p>\n<p>\uc774\ubbf8\uc9c0\uc5d0\uc11c \ud30c\ub780\uc0c9 \uc870\uac01\ub4e4\uc740 \uc720\uc0ac\ud574 \ubcf4\uc785\ub2c8\ub2e4. \ud30c\ub780\uc0c9 \uc870\uac01\ub3c4 \uc720\uc0ac\ud574 \ubcf4\uc774\uc8e0. \uc774\ub7ec\ud55c \ud53d\uc140\uc744 \ucde8\ud574, \uc774 \ud53d\uc140 \uc8fc\uc704\uc5d0 \uc791\uc740 \uc708\ub3c4\uc6b0\ub97c \ub9cc\ub4e4\uc5b4, \uc774\ubbf8\uc9c0\uc5d0\uc11c \uc720\uc0ac\ud55c \uc708\ub3c4\uc6b0 \uc601\uc5ed\uc744 \ucc3e\uc544\uc11c, \ubaa8\ub4e0 \uc708\ub3c4\uc6b0\ub4e4\uc758 \ud3c9\uade0\uc744 \ub0b4\uace0, \uadf8 \ud3c9\uade0 \uacb0\uacfc\ub85c \ud53d\uc140\uc744 \uad50\uccb4\ud569\ub2c8\ub2e4. \uc774 \ubc29\ubc95\uc774 NonLocal Means Denosing(\uc7a1\uc74c\uc81c\uac70)\uc774\ub77c\uace0 \ud569\ub2c8\ub2e4. \uc55e\uc11c \ubd24\ub358 \ube14\ub7ec\ub9c1(Burring) \uae30\ubc95\uacfc \ube44\uad50\ud558\uba74 \uc2dc\uac04\uc740 \ub354 \uc18c\uc694\ub418\uc9c0\ub9cc, \uacb0\uacfc\ub294 \ub9e4\uc6b0 \uc88b\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\uce7c\ub77c \uc774\ubbf8\uc9c0\uc5d0 \ub300\ud574\uc11c, \uc774\ubbf8\uc9c0\ub97c CIELAB \uce7c\ub77c\uacf5\uac04(Colorspace)\ub85c \ubcc0\uacbd\ud558\uace0 L\uacfc AB \uc694\uc18c\uc5d0 \ub300\ud574 \ubcc4\ub3c4\ub85c \uc7a1\uc74c\uc744 \uc81c\uac70 \ud569\ub2c8\ub2e4.<\/p>\n<p>\uc774\ub7f0 \ubc29\ubc95\uc5d0 \ub300\ud574\uc11c OpenCV\uc5d0\uc11c\ub294 4\uac00\uc9c0 \ubc29\uc2dd\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/p>\n<ol>\n<li>cv2.fastNlMeansDenoising() &#8211; \uadf8\ub808\uc774 \uc774\ubbf8\uc9c0 \ud558\ub098\uc5d0 \ub300\ud574\uc11c\ub9cc \uc791\ub3d9\ud568<\/li>\n<li>cv2.fastNlMeansDenoisingColored() &#8211; \uce7c\ub77c \uc774\ubbf8\uc9c0 \ud558\ub098\uc5d0 \ub300\ud574\uc11c \uc791\ub3d9\ud568<\/li>\n<li>cv2.fastNlMeansDenoisingMulti() &#8211; \uc9e7\uc740 \uc2dc\uac04 \ub3d9\uc548 \ucc0d\ud78c \uc5ec\ub7ec \uac1c\uc758 \uc774\ubbf8\uc9c0\uc5d0 \ub300\ud574\uc11c \uc791\ub3d9\ud558\uba70 \uadf8\ub808\uc774 \uc774\ubbf8\uc9c0\uc5ec\uc57c \ud568<\/li>\n<li>cv2.fastNlMeansDenoisingColoredMulti() &#8211; \uc9e7\uc740 \uc2dc\uac04 \ub3d9\uc548 \ucc0d\ud55c \uc5ec\ub7ec \uac1c\uc758 \uc774\ubbf8\uc9c0\uc5d0 \ub300\ud574\uc11c \uc791\ub3d9\ud558\uba70 \uce7c\ub77c \uc774\ubbf8\uc9c0\uc5d0\uc11c \uc791\ub3d9\ud568<\/li>\n<\/ol>\n<p>\uc704 \ud568\uc218\ub4e4\uc758 \uacf5\ud1b5 \uc778\uc790\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<ul>\n<li>h : \ud544\ud130 \uac15\ub3c4\ub97c \uacb0\uc815\ud558\ub294 \uc778\uc790. \ub354 \ub192\uc740 h \uac12\uc774 \uc7a1\uc74c\uc744 \ub354 \uc798 \uc81c\uac70\ud558\uc9c0\ub9cc \uc7a1\uc74c\uc774 \uc544\ub2cc \ud53d\uc140\ub3c4 \uc81c\uac70\ud568(10\uc774\uba74 \uc801\ub2f9\ud568)<\/li>\n<li>hForColorComponents : h\uc640 \ub3d9\uc77c\ud558\uc9c0\ub9cc, \uce7c\ub77c \uc774\ubbf8\uc9c0\uc5d0 \ub300\ud574\uc11c\ub9cc \uc0ac\uc6a9\ub428(\ubcf4\ud1b5 h\uc640 \uac19\uc74c)<\/li>\n<li>templateWindowSize : \ud640\uc218\uac12\uc774\uc5ec\uc57c \ud568(7\uc744 \uad8c\uc7a5\ud568)<\/li>\n<li>searchWindowSize : \ud640\uc218\uac12\uc774\uc5ec\uc57c \ud568(21\uc744 \uad8c\uc7a5\ud568)<\/li>\n<\/ul>\n<p>\uc774 \uae00\uc5d0\uc11c\ub294 2\ubc88\uacfc 3\ubc88\uc5d0 \ub300\ud55c \uc608\uc81c\ub97c \uc0b4\ud3b4 \ubd05\ub2c8\ub2e4.<\/p>\n<h4>1. cv2.fastNlMeansDenoisingColored()<\/h4>\n<p>\uc55e\uc11c \uc5b8\uae09\ud588\ub4ef\uc774 \uce7c\ub77c \uc774\ubbf8\uc9c0\ub85c\ubd80\ud130 \uc7a1\uc74c\uc744 \uc81c\uac70 \ud558\ub294\ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \ucf54\ub4dc\ub294 \uc544\ub798\uc640 \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">\r\nimport numpy as np\r\nimport cv2\r\nfrom matplotlib import pyplot as plt\r\n\r\nimg = cv2.imread('.\/data\/die.png')\r\n\r\ndst = cv2.fastNlMeansDenoisingColored(img,None,10,10,7,21)\r\n\r\nplt.subplot(121),plt.imshow(img)\r\nplt.subplot(122),plt.imshow(dst)\r\nplt.show()\r\n<\/pre>\n<p>\uc544\ub798\ub294 \uacb0\uacfc\uc778\ub370, \uc785\ub825 \uc774\ubbf8\uc9c0\ub294 <img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/www.gisdeveloper.co.kr\/wp-content\/uploads\/2019\/05\/99b4e153cea3d8433f307dab707a2c43c8f9f72d.png\" alt=\"\" width=\"53\" height=\"13\" class=\"alignnone size-full wp-image-7179\" \/>\uc778 \uac00\uc6b0\uc2dc\uc548 \uc7a1\uc74c\uc744 \uac00\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/www.gisdeveloper.co.kr\/wp-content\/uploads\/2019\/05\/denosing1.png\" alt=\"\" width=\"1578\" height=\"641\" class=\"aligncenter size-full wp-image-7180\" \/><\/p>\n<h4>2. cv2.fastNlMeansDenoisingMulti()<\/h4>\n<p>\uc774\uc81c \ube44\ub514\uc624\uc5d0 \ub300\ud574\uc11c\ub3c4 \ub3d9\uc77c\ud55c \ubc29\ubc95\uc744 \uc801\uc6a9\ud574 \ubd05\uc2dc\ub2e4. \uccab\ubc88\uc9f8 \uc778\uc790\ub294 \uc7a1\uc74c\uc774 \ub4e4\uc5b4\uac04 \ud504\ub808\uc784 \ub9ac\uc2a4\ud2b8\uc785\ub2c8\ub2e4. \ub450\ubc88\uc7ac \uc778\uc790 imgToDenoiseIndex\ub294 \uc7a1\uc74c\uc744 \uc81c\uac70\ud560 \ud504\ub808\uc784\uc758 \uc778\ub371\uc2a4\uc778\ub370, \uc774\ub97c \uc704\ud574 \uc785\ub825 \ub9ac\uc2a4\ud2b8\uc5d0 \ud504\ub808\uc784 \uc778\ub371\uc2a4\ub97c \uc804\ub2ec\ud569\ub2c8\ub2e4. \uc138\ubc88\uc9f8 \uc778\uc790\ub294 temporalWindowSize\uc73c\ub85c \uc7a1\uc74c \uc81c\uac70\ub97c \uc704\ud574 \uc0ac\uc6a9\ud560 \uc778\uadfc \ud504\ub808\uc784\uc758 \uac1c\uc218\uc785\ub2c8\ub2e4. \uc774 \uac12\uc740 \ud640\uc218\uc5ec\uc57c \ud569\ub2c8\ub2e4. \uc608\uc81c\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">\r\nimport numpy as np\r\nimport cv2\r\nfrom matplotlib import pyplot as plt\r\n\r\ncap = cv2.VideoCapture('.\/data\/TownCentreXVID.mp4')\r\n\r\n# create a list of first 5 frames\r\nimg = [cap.read()[1] for i in range(5)]\r\n\r\n# convert all to grayscale\r\ngray = [cv2.cvtColor(i, cv2.COLOR_BGR2GRAY) for i in img]\r\n\r\n# convert all to float64\r\ngray = [np.float64(i) for i in gray]\r\n\r\n# create a noise of variance 25\r\nnoise = np.random.randn(*gray[1].shape)*10\r\n\r\n# Add this noise to images\r\nnoisy = [i+noise for i in gray]\r\n\r\n# Convert back to uint8\r\nnoisy = [np.uint8(np.clip(i,0,255)) for i in noisy]\r\n\r\n# Denoise 3rd frame considering all the 5 frames\r\ndst = cv2.fastNlMeansDenoisingMulti(noisy, 2, 5, None, 4, 7, 35)\r\n\r\nplt.subplot(131),plt.imshow(gray[2],'gray')\r\nplt.subplot(132),plt.imshow(noisy[2],'gray')\r\nplt.subplot(133),plt.imshow(dst,'gray')\r\nplt.show()\r\n<\/pre>\n<p>\uacb0\uacfc\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/www.gisdeveloper.co.kr\/wp-content\/uploads\/2019\/05\/nlm_multi.jpg\" alt=\"\" width=\"450\" height=\"904\" class=\"aligncenter size-full wp-image-7182\" \/><\/p>\n<p>\uacc4\uc0b0\uc5d0 \uc18c\uc694\ub418\ub294 \uc2dc\uac04\uc774 \uc0c1\ub2f9\ud55c\ub370, \uccab\ubc88\uc9f8 \uc774\ubbf8\uc9c0\ub294 \uc6d0\ubcf8 \ud504\ub808\uc784\uc774\uace0 \ub450\ubc88\uc9f8\ub294 \uc7a1\uc74c\uc744 \ub123\uc740 \uac83\uc774\uba70 \ub9c8\uc9c0\ub9c9\uc740 \ub450\ubc88\uc9f8 \uc774\ubbf8\uc9c0\uc5d0 \ub300\ud55c \uc7a1\uc74c\uc744 \uc81c\uac70\ud55c \uac83\uc785\ub2c8\ub2e4.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uc774 \uae00\uc758 \uc6d0\ubb38\uc740 https:\/\/opencv-python-tutroals.readthedocs.io\/en\/latest\/py_tutorials\/py_photo\/py_non_local_means\/py_non_local_means.html \uc785\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \uc774\ubbf8\uc9c0 \uc548\uc758 \uc7a1\uc74c\uc744 \uc81c\uac70\ud558\uae30 \uc704\ud574 Non-local Means \uc7a1\uc74c\uc81c\uac70 \uc54c\uace0\ub9ac\uc998\uc5d0 \ub300\ud574 \uc0b4\ud3b4\ubd05\ub2c8\ub2e4. \uc774\ub97c \uc704\ud55c OpenCV\uc5d0\uc11c \uc81c\uacf5\ud558\ub294 cv2.fastNlMeansDenoising(), cv2.fastNlMeansDenoisingColored() \ub4f1\uacfc \uac19\uc740 \ud568\uc218\ub4e4\uc758 \ucc28\uc774\uc810\uc5d0 \ub300\ud574\uc11c\ub3c4 \uc0b4\ud3b4\ubd05\ub2c8\ub2e4. \uc774\uc804 \uae00\uc5d0\uc11c, \uac00\uc6b0\uc2dc\uc548 \ube14\ub7ec\ub9c1, \uba54\ub514\uc548 \ube14\ub7ec\ub9c1 \ub4f1\uacfc \uac19\uc740 \uc774\ubbf8\uc9c0\ub97c \ubd80\ub4dc\ub7fd\uac8c \ub9cc\ub4dc\ub294 \uae30\ubc95\uc5d0 \ub300\ud574 \uc0b4\ud3b4 \ubcf4\uc558\uc73c\uba70, \uc774\ub7f0 \uc5f0\uc0b0\uc774 \uc5b4\ub290 \uc815\ub3c4\uc758 \uc7a1\uc74c\uc744 \uc81c\uac70\ud560 \uc218 \uc788\uc5c8\uc74c\uc744 \ubcf4\uc600\uc2b5\ub2c8\ub2e4. \uc774\ub4e4 &hellip; <\/p>\n<p class=\"link-more\"><a href=\"http:\/\/www.gisdeveloper.co.kr\/?p=7168\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;Python\uacfc OpenCV \u2013 53 : \uc774\ubbf8\uc9c0\uc5d0\uc11c \uc7a1\uc74c \uc81c\uac70(Image Denoising)&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[130,131],"tags":[],"class_list":["post-7168","post","type-post","status-publish","format-standard","hentry","category-opencv","category-python"],"_links":{"self":[{"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/posts\/7168","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=7168"}],"version-history":[{"count":8,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/posts\/7168\/revisions"}],"predecessor-version":[{"id":9403,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=\/wp\/v2\/posts\/7168\/revisions\/9403"}],"wp:attachment":[{"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7168"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7168"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.gisdeveloper.co.kr\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7168"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}