{"id":27509,"date":"2020-07-06T05:59:54","date_gmt":"2020-07-06T05:59:54","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/digital-image-processing-cc-8th-sem-syllabus-for-be-2017-regulation-anna-univ-professional-elective-iv\/"},"modified":"2020-07-06T05:59:54","modified_gmt":"2020-07-06T05:59:54","slug":"digital-image-processing-cc-8th-sem-syllabus-for-be-2017-regulation-anna-univ-professional-elective-iv","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/digital-image-processing-cc-8th-sem-syllabus-for-be-2017-regulation-anna-univ-professional-elective-iv\/","title":{"rendered":"Digital Image Processing C&amp;C 8th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective IV)"},"content":{"rendered":"<p>Digital Image Processing C&amp;C 8th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective IV) detail syllabus for Computer &amp; Communication Engineering (C&amp;C), 2017 regulation is collected from the <a href=\"https:\/\/www.annauniv.edu\/\" target=\"_blank\" rel=\"noopener\">Anna Univ<\/a> official website and presented for students of Anna University. The details of the course are: course code (EC8093), Category (PE), Contact Periods\/week (3), Teaching hours\/week (3), Practical Hours\/week (0). The total course credits are given in combined syllabus.<\/p>\n<p>For all other c&amp;c 8th sem syllabus for be 2017 regulation anna univ you can visit <a href=\"..\/cc-8th-sem-syllabus-for-be-2017-regulation-anna-univ\">C&amp;C 8th Sem syllabus for BE 2017 regulation Anna Univ Subjects<\/a>. For all other Professional Elective IV subjects do refer to <a href=\"..\/professional-elective-iv-cc-8th-sem-syllabus-for-be-2017-regulation-anna-univ\">Professional Elective IV<\/a>. The detail syllabus for digital image processing is as follows.<\/p>\n<p><h4>Course Objective:<\/h4>\n<ul>\n<li>To become familiar with digital image fundamentals<\/li>\n<li>To get exposed to simple image enhancement techniques in Spatial and Frequency domain.<\/li>\n<li>To learn concepts of degradation function and restoration techniques.<\/li>\n<li>To study the image segmentation and representation techniques.<\/li>\n<li>To become familiar with image compression and recognition methods<\/li>\n<\/ul>\n<p><h4>Unit I<\/h4>\n<p>For complete syllabus and results, class timetable and more pls <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n<p><h4>Unit II<\/h4>\n<p><strong>Image Enhancement<\/strong><br \/>\nSpatial Domain: Gray level transformations &#8211; Histogram processing &#8211; Basics of Spatial FilteringSmoothing and Sharpening Spatial Filtering, Frequency Domain: Introduction to Fourier TransformSmoothing and Sharpening frequency domain filters &#8211; Ideal, Butterworth and Gaussian filters, Homomorphic filtering, Color image enhancement.\n<\/p>\n<p><h4>Unit III<\/h4>\n<p><strong>Image Restoration<\/strong><br \/>\nImage Restoration &#8211; degradation model, Properties, Noise models &#8211; Mean Filters &#8211; Order Statistics -Adaptive filters &#8211; Band reject Filters &#8211; Band pass Filters &#8211; Notch Filters &#8211; Optimum Notch Filtering -Inverse Filtering &#8211; Wiener filtering\n<\/p>\n<p><h4>Unit IV<\/h4>\n<p>For complete syllabus and results, class timetable and more pls <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n<p><h4>Unit V<\/h4>\n<p><strong>Image Compression and Recognition<\/strong><br \/>\nNeed for data compression, Huffman, Run Length Encoding, Shift codes, Arithmetic coding, JPEG standard, MPEG. Boundary representation, Boundary description, Fourier Descriptor, Regional Descriptors &#8211; Topological feature, Texture &#8211; Patterns and Pattern classes &#8211; Recognition based on matching.<br \/>\nTOTAL 45 PERIODS\n<\/p>\n<p><h4>Course Outcome:<\/h4>\n<p>At the end of the course, the students should be able to:<\/p>\n<ul>\n<li>Know and understand the basics and fundamentals of digital image processing, such as digitization, sampling, quantization, and 2D-transforms.<\/li>\n<li>Operate on images using the techniques of smoothing, sharpening and enhancement.<\/li>\n<li>Understand the restoration concepts and filtering techniques.<\/li>\n<li>Learn the basics of segmentation, features extraction, compression and recognition methods for color models.<\/li>\n<\/ul>\n<p><h4>Text Books:<\/h4>\n<ol>\n<li>Rafael C. Gonzalez, Richard E. Woods, Digital Image Processing, Pearson, Third Edition,<\/li>\n<p>.<\/p>\n<li>Anil K. Jain, Fundamentals of Digital Image Processing, Pearson, 2002.<\/li>\n<\/ol>\n<p><h4>References:<\/h4>\n<ol>\n<li>Kenneth R. Castleman, Digital Image Processing, Pearson, 2006.<\/li>\n<li>Rafael C. Gonzalez, Richard E. Woods, Steven Eddins, Digital Image Processing using MATLAB, Pearson Education, Inc., 2011.<\/li>\n<li>D,E. Dudgeon and RM. Mersereau, Multidimensional Digital Signal Processing, Prentice Hall Professional Technical Reference, 1990.<\/li>\n<li>William K. Pratt, Digital Image Processing, John Wiley, New York, 2002<\/li>\n<li>Milan Sonka et al Image processing, analysis and machine vision, Brookes\/Cole, Vikas Publishing House, 2nd edition, 1999<\/li>\n<\/li>\n<\/ol>\n<p>For detail syllabus of all other subjects of BE C&amp;C, 2017 regulation do visit <a href=\"..\/category\/cc+8th-sem\">C&amp;C 8th Sem syllabus for 2017 Regulation<\/a>.<\/p>\n<p>Dont forget to <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a> for latest syllabus and results, class timetable and more.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Digital Image Processing C&amp;C 8th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective IV) detail syllabus for Computer &amp; Communication Engineering (C&amp;C), 2017 regulation is collected from the [&hellip;]<\/p>\n","protected":false},"author":2297,"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":[51,68],"tags":[],"class_list":["post-27509","post","type-post","status-publish","format-standard","hentry","category-8th-sem","category-cc"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/27509","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/users\/2297"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/comments?post=27509"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/27509\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=27509"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=27509"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=27509"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}