{"id":22574,"date":"2020-07-12T02:56:29","date_gmt":"2020-07-12T02:56:29","guid":{"rendered":"https:\/\/www.inspirenignite.com\/vtu\/18ec733-digital-image-processing-ece-syllabus-for-be-7th-sem-2018-scheme-vtu-professional-elective-2\/"},"modified":"2020-07-12T02:56:29","modified_gmt":"2020-07-12T02:56:29","slug":"18ec733-digital-image-processing-ece-syllabus-for-be-7th-sem-2018-scheme-vtu-professional-elective-2","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/vtu\/18ec733-digital-image-processing-ece-syllabus-for-be-7th-sem-2018-scheme-vtu-professional-elective-2\/","title":{"rendered":"18EC733: Digital Image Processing ECE Syllabus for BE 7th Sem 2018 Scheme VTU (Professional Elective-2)"},"content":{"rendered":"

Digital Image Processing detailed Syllabus for Electronics & Communication Engineering (ECE), 2018 scheme has been taken from the VTUs<\/a> official website and presented for the VTU students. For Course Code, Subject Names, Teaching Department, Paper Setting Board, Theory Lectures, Tutorial, Practical\/Drawing, Duration in Hours, CIE Marks, Total Marks, Credits and other information, visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the official website of the university.<\/p>\n

For all the other VTU ECE 7th Sem Syllabus for BE 2018 Scheme, visit Electronics & Communication Engineering 7th Sem 2018 Scheme<\/a>. <\/p>\n

For all the (Professional Elective-2) subjects refer to Professional Elective-2 Scheme<\/a>. The detail syllabus for digital image processing is as follows. <\/p>\n

Course Learning Objectives:<\/h4>\n

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
\"Get<\/a>. <\/p>\n

Module 1<\/h4>\n

\nDigital Image Fundamentals: Whatis Digital Image Processing?, Origins of Digital Image Processing, Examples of fields that use DIP, Fundamental Steps in Digital Image Processing, Components of an Image Processing System, Elements of Visual Perception, Image Sensing and Acquisition. (Text:Chapter1andChapter2:Sections2.1to2.2,2.6.2) L1,L2<\/p>\n

Module-2<\/h4>\n

\nImage Enhancement in the Spatial Domain: Image Sampling and Quantization, Some Basic Relationships Between Pixels, Linear and Nonlinear Operations. Some Basic Intensity Transformation Functions, Histogram Processing, Fundamentals of Spatial Filtering, Smoothing Spatial Filters, Sharpening Spatial Filters (Text:Chapter2:Sections 2.3to2.62,Chapter3:Sections3.2to3.6) L1,L2<\/p>\n

Module-3<\/h4>\n

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
\"Get<\/a>. <\/p>\n

Module-4<\/h4>\n

\nRestoration:Noisemodels,RestorationinthePresenceofNoiseOnlyusingSpatialFilteringandFreque ncyDomainFiltering,Linear,Position- Invariantdegradations,EstimatingtheDegradationFunction,InverseFiltering,MinimumMeanSquar eError(Wiener)Filtering,ConstrainedLeastSquares Filtering. (Text:Chapter5:Sections5.2,to5.9) L1,L2<\/p>\n

Module-5<\/h4>\n

\nMorphological Image Processing: Preliminaries, Erosion and Dilation, Opening and Closing. Color Image Processing: Color Fundamentals, Color Models, Pseudo color Image Processing. (Text: Chapter 6: Sections 6.1 to 6.3 Chapter 9: Sections9.1to9.3) L1,L2<\/p>\n

Course Outcomes:<\/h4>\n

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
\"Get<\/a>. <\/p>\n

Question Paper Pattern:<\/h4>\n

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