{"id":23580,"date":"2020-07-16T17:15:04","date_gmt":"2020-07-16T17:15:04","guid":{"rendered":"https:\/\/www.inspirenignite.com\/jntuh\/cs514pe-image-processing-it-syllabus-for-btech-3rd-year-1st-sem-r18-regulation-jntuh-professional-elective-i\/"},"modified":"2020-07-16T17:15:04","modified_gmt":"2020-07-16T17:15:04","slug":"cs514pe-image-processing-it-syllabus-for-btech-3rd-year-1st-sem-r18-regulation-jntuh-professional-elective-i","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/jntuh\/cs514pe-image-processing-it-syllabus-for-btech-3rd-year-1st-sem-r18-regulation-jntuh-professional-elective-i\/","title":{"rendered":"CS514PE: Image Processing IT Syllabus for B.Tech 3rd Year 1st Sem R18 Regulation JNTUH (Professional Elective-I)"},"content":{"rendered":"<p align=\"justify\">Image Processing detailed Syllabus for Information Technology (IT), R18 regulation has been taken from the <a href=\"https:\/\/jntuh.ac.in\/syllabus\/\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">JNTUH<\/a> official website and presented for the students affiliated to JNTUH course structure. For Course Code, Subject Names, Theory Lectures, Tutorial, Practical\/Drawing, Credits, and other information do visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the universities official website.<\/p>\n<p align=\"justify\">For all the other IT 3rd Year 1st Sem Syllabus for B.Tech R18 Regulation JNTUH, visit <a href=\"..\/it-3rd-year-1st-sem-syllabus-for-btech-r18-regulation-jntuh\">Information Technology 3rd Year 1st Sem R18 Scheme<\/a>. <\/p>\n<p align=\"justify\">For all the (Professional Elective-I) subjects refer to <a href=\"..\/it-3rd-year-1st-sem-professional-elective-i-syllabus-for-btech-r18-regulation-jntuh\">Professional Elective-I Scheme<\/a>. The detail syllabus for image processing is as follows.  <\/p>\n<h4>Pre-requisite:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete Syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>.  <\/p>\n<h4>Course Objectives:<\/h4>\n<p align=\"justify\">\n<ol>\n<li>Provide a theoretical and mathematical foundation of fundamental Digital Image Processing concepts.<\/li>\n<li>The topics include image acquisition; sampling and quantization; preprocessing; enhancement; restoration; segmentation; and compression.<\/li>\n<\/ol>\n<h4>Course Outcomes:<\/h4>\n<p align=\"justify\">\n<ol>\n<li>Demonstrate the knowledge of the basic concepts of two-dimensional signal acquisition, sampling, and quantization.<\/li>\n<li>Demonstrate the knowledge of filtering techniques.<\/li>\n<li>Demonstrate the knowledge of 2D transformation techniques.<\/li>\n<li>Demonstrate the knowledge of image enhancement, segmentation, restoration and compression techniques.<\/li>\n<\/ol>\n<h4>Unit I<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete Syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>.  <\/p>\n<h4>Unit II<\/h4>\n<p align=\"justify\">\nImage Enhancement in Spatial Domain Point Processing, Histogram Processing, Spatial Filtering, Enhancement in Frequency Domain, Image Smoothing, Image Sharpening.<\/p>\n<h4>Unit III<\/h4>\n<p align=\"justify\">\nImage Restoration Degradation Model, Algebraic Approach to Restoration, Inverse Filtering, Least Mean Square Filters, Constrained Least Squares Restoration, Interactive Restoration.<\/p>\n<h4>Unit IV<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete Syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>.  <\/p>\n<h4>Unit V<\/h4>\n<p align=\"justify\">\nImage Compression Redundancies and their Removal Methods, Fidelity Criteria, Image Compression Models, Source Encoder and Decoder, Error Free Compression, Lossy Compression.<\/p>\n<h4>Text Books:<\/h4>\n<p align=\"justify\">\n<ol>\n<li>Digital Image Processing: R.C. Gonzalez and R. E. Woods, Addison Wesley\/ Pearson Education, 2nd Ed, 2004.<\/li>\n<\/ol>\n<h4>Reference Books:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete Syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>.<\/p>\n<p align=\"justify\">For detail Syllabus of all other subjects of B.Tech 3rd Year 1st Sem Information Technology, visit <a href=\"..\/category\/it+3rd-year\">IT 3rd Year 1st Sem Syllabus<\/a> Subjects.<\/p>\n<p align=\"justify\">For all B.Tech results, visit <a href=\"https:\/\/www.inspirenignite.com\/jntuh\/jntuh-b-tech-results\/\">JNTUH B.Tech all years, and semester results <\/a>from direct links.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Image Processing detailed Syllabus for Information Technology (IT), R18 regulation has been taken from the JNTUH official website and presented for the students affiliated to JNTUH course structure. For Course [&hellip;]<\/p>\n","protected":false},"author":2344,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[114],"tags":[],"class_list":["post-23580","post","type-post","status-publish","format-standard","hentry","category-it"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/23580","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/users\/2344"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/comments?post=23580"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/posts\/23580\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/media?parent=23580"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/categories?post=23580"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuh\/wp-json\/wp\/v2\/tags?post=23580"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}