{"id":2600,"date":"2025-05-01T09:01:26","date_gmt":"2025-05-01T00:01:26","guid":{"rendered":"https:\/\/blog.agentsoft.co.kr\/index.php\/2025\/05\/01\/2600\/"},"modified":"2025-05-01T09:01:26","modified_gmt":"2025-05-01T00:01:26","slug":"%ec%97%90%eb%a6%ac%ec%b9%b4-%ec%98%81%ec%83%81%ec%b2%98%eb%a6%ac%ec%9e%85%eb%ac%b8-1%eb%b2%88-%eb%ac%b8%ec%a0%9c-%eb%b3%b4%ea%b3%a0%ec%84%9c","status":"publish","type":"post","link":"https:\/\/blog.agentsoft.co.kr\/index.php\/2025\/05\/01\/2600\/","title":{"rendered":"\uc5d0\ub9ac\uce74 \uc601\uc0c1\ucc98\ub9ac\uc785\ubb38 1\ubc88 \ubb38\uc81c \ubcf4\uace0\uc11c"},"content":{"rendered":"

<\/p>\n

\ubaa9\ucc28<\/strong><\/p>\n

\uc5c6\uc74c<\/p>\n

\ubcf8\ubb38\ub0b4\uc6a9<\/strong><\/p>\n

Problem 1: Image Enhancement
\nIn this problem, we apply image enhancement techniques to enhance the desk image (desk.png) as shown in Fig. 1.
\n(a) Convert Color to Grayscale (8 points) Each color pixel of the image is described by a triple (R, G, B) of intensities for red, green, and blue. There are many approaches to convert color to grayscale. The average method simply averages the values: Y = (R + G + B) \/ 3. The most popular one is the luminosity method, which is a weighted average to account for human perception. Use the luminosity method (the following formula) to convert the color image to grayscale image [1]. Y = 0.21 R + 0.72 G + 0.07 B<\/p>\n

\uc815\uc758
\nAverage Method
\nR,G,B \uc758 \ud3c9\uade0\uc744 \uacc4\uc0b0 (Y = (R + G + B) \/ 3)
\nLuminosity Method
\n\uc0ac\ub78c\uc758 \uc2dc\uac01\uc774 \uc0c9\uc0c1\uc744 \uc778\uc9c0\ud558\ub294 \ubc29\uc2dd\uc5d0 \ub530\ub77c\uc11c \uac00\uc911\uce58\ub97c \uc801\uc6a9 (Y = 0.21 R + 0.72 G +
\n0.07 B)<\/p>\n

\ucd9c\ucc98 : \ud574\ud53c\ucea0\ud37c\uc2a4<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

\ubaa9\ucc28 \uc5c6\uc74c \ubcf8\ubb38\ub0b4\uc6a9 Problem 1: Image Enhancement In this problem, we apply image enhancement techniques to enhance the desk image (desk.png) as shown in Fig. 1. (a) Convert Color to Grayscale (8 points) Each color pixel of the image is described by a triple (R, G, B) of intensities for red, green, and blue. There […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[4976,4975,4977],"class_list":["post-2600","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-4976","tag-4975","tag-4977"],"_links":{"self":[{"href":"https:\/\/blog.agentsoft.co.kr\/index.php\/wp-json\/wp\/v2\/posts\/2600","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.agentsoft.co.kr\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.agentsoft.co.kr\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.agentsoft.co.kr\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.agentsoft.co.kr\/index.php\/wp-json\/wp\/v2\/comments?post=2600"}],"version-history":[{"count":0,"href":"https:\/\/blog.agentsoft.co.kr\/index.php\/wp-json\/wp\/v2\/posts\/2600\/revisions"}],"wp:attachment":[{"href":"https:\/\/blog.agentsoft.co.kr\/index.php\/wp-json\/wp\/v2\/media?parent=2600"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.agentsoft.co.kr\/index.php\/wp-json\/wp\/v2\/categories?post=2600"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.agentsoft.co.kr\/index.php\/wp-json\/wp\/v2\/tags?post=2600"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}