{"id":826,"date":"2016-07-27T18:10:42","date_gmt":"2016-07-27T18:10:42","guid":{"rendered":"http:\/\/www.inspirenignite.com\/jntuk\/?p=826"},"modified":"2016-07-27T18:14:17","modified_gmt":"2016-07-27T18:14:17","slug":"jntuk-b-tech-image-processing-open-elective-for-r13-batch","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/jntuk\/jntuk-b-tech-image-processing-open-elective-for-r13-batch\/","title":{"rendered":"JNTUK B.Tech Image Processing (Open Elective) for R13 Batch."},"content":{"rendered":"<p>JNTUK B.Tech Image Processing gives you detail information of Image Processing R13 syllabus It will be help full to understand you complete curriculum of the year.<\/p><div class=\"a9916ad81d5189659b0bfae0b37c143c\" data-index=\"1\" style=\"float: none; margin:10px 0 10px 0; text-align:center;\">\n<ins class=\"adsbygoogle\"\r\n     style=\"display:block; text-align:center;\"\r\n     data-ad-layout=\"in-article\"\r\n     data-ad-format=\"fluid\"\r\n     data-ad-client=\"ca-pub-1181153414625576\"\r\n     data-ad-slot=\"9648548092\"><\/ins>\r\n<script>\r\n     (adsbygoogle = window.adsbygoogle || []).push({});\r\n<\/script>\n<\/div>\n\n<p><strong>Unit: 1 : Introduction to Image Processing:<\/strong> Overview of Image Processing, Nature of Image Processing, Image Processing Computer Graphics, Signal Processing, Machine Vision, video Processing, Optics, Statistics, Digital Image Representation, Types of Images, Digital Image Processing Operations, Fundamental steps in Image Processing, Image Processing Applications.<br \/>\nDigital Imaging System.<\/p>\n<p>Digital Imaging System: Physical Aspects of Imaging Acquisition, Biological Aspects of Image Acquisition, Properties of Human Visual System, Review of Digital Camera, Sampling and Quantization, Image Quality \u2013 Optical Resolution, Image Display Device and Device Resolution, Digital Halftone Process \u2013 Random Dithering, Ordered Dithering, Non-Periodic Dithering, Image Storage and File Formats \u2013 Need for File Format Types of File Formats \u2013 GIF, JPEG, PNG, DICOM, SVG Structure of TIFF File Format.<\/p>\n<p><strong>Unit: 2 : Digital Image Processing Operations<\/strong>: Basic Relationship and Distance Metrics, Classification of Image Processing Operations, Arithmetic and Logical Operations, Geometric Operations, Image Interpolation Techniques, Set Operations, Statistical Operations, Convolution and Correlation Operations, Data Structures and Image Processing Applications Development \u2013 Relational Structures, Hierarchical Data Structures, Pyramids, Quadtrees, Application Development.<\/p>\n<p>Digital Image Transforms: Need for Image Transforms, Spatial Frequencies in Image Processing, Introduction to Fourier Transform, Discrete Fourier Transform, Fast Fourier Transform and its algorithm, Properties of Fourier transform \u2013 Sampling Theorem, Parseval\u2019s Theorem, Discrete Cosine Transform, Discrete Sine Transform, Walsh Transform, Hadamard Transform, Haar Transform, Slant Transform, SVD and KL Transforms or Hotelling Transform.<\/p>\n<p><strong>Unit: 3 : Image Enhancement:<\/strong> Image Quality and Need for Image Enhancement, Image Quality Metrics, Image Enhancement Point Operations Linear and Non-linear Functions, Piecewise Linear Functions, Histogram-based Techniques, Spatial Filtering Concepts, Image Smoothing Spatial Filters and its design, Image Sharpening Spatial Filters Frequency Domain Filtering.<\/p>\n<p>Image Restoration: Image Degradation (Restoration) Model, Categories of Image Degradations, Noise Modeling, Blur and Distortions, Image Restoration in the Presence of Noise Only, Mean Filters, Order-statistics Filters, Image Restoration Techniques, Constrained and Unconstrained Methods, Geometrical Transforms for Image Restoration.<\/p>\n<p><strong>Unit: 4 : Image Compression:<\/strong> Image Compression Model, Compression Algorithm and its types \u2013 Entropy Coding, Predictive Coding, Transform Coding, Layered Coding, Types of Redundancy \u2013 Coding Redundancy, Inter-pixel Redundancy, Psychovisual Redundancy, Chromatic Redundancy.<\/p>\n<p>Lossless Compression Algorithms, Run-length Coding, Huffman Coding , Shannon\u2013Fano Coding, Bit-plane Coding, Arithmetic Coding, Lossless Predictive Coding, Lossy Compression Algorithms, Block Transform Coding, Image and Video Compression standards, JPEG,Video Compression \u2013 MPEG.<\/p>\n<p><strong>Unit: 5 : Image Segmentation:<\/strong> Introduction \u2013 Classification of Image Segmentation Algorithms, Detection of Discontinuities, Edge Detection \u2013 Staged in Edge Detection \u2013 Types of Edge Detectors, First-order Edge Detection Operators \u2013 Second-order Derivative Filters, Edge Operator Performance, Edge Linking Algorithms, Principle of Thresholding &#8211; Effect of Noise over Threshold Process and Peakiness Test &#8211; Parametric Methods, Non-parametric Methods, Principle of Region- growing \u2013Dynamic Segmentation approaches , Validation of Segmentation Algorithms.<\/p>\n<p><strong>Unit: 6 : Colour Image Processing<\/strong>: Introduction \u2013 Colour Fundamentals, Devices for Colour Imaging, Colour Image Storage and Processing \u2013 Colour Models \u2013 RGB Colour Model, HIS Colour Model, HSV Colour Model, HLS Colour Model, TV Colour Model YUV Model, YIQ Model, Y Cb Cr Colour Model, Printing Colour Models- CMK and CMYK Models.Colour Quantization \u2013 Popularity Algorithm, Median-cut Algorithm, Octree- based Algorithm, Pseudo Colour Image Processing.<\/p>\n<p>Full Colour Processing \u2013 Colour Transformation \u2013 Image Filters for Colour Images \u2013 Noise in Colour Images, Colour Image Segmentation\u2013 Thresholding, K-means Clustering Technique, RGB Colour Space Segmentation, Colour Features.<\/p>\n<p><strong>Text Books<\/strong><\/p>\n<ul>\n<li>S.Sridhar, \u201cDigital Image Processing\u201d Oxford Publishers, 2011<\/li>\n<li>S.Jayaraman, S.Esakkirajan, T.Veerakumar, \u201cDigital Image Processing\u201d Mc Graw Hill Publishers, 2009<\/li>\n<\/ul>\n<p><strong>Reference Books<\/strong><\/p>\n<ul>\n<li>Rafael C.Gonzalez and Richard E. Woods, \u201cDigital Image Processing\u201d Pearson Education, 2011. B.Chanda and D. Dutta Majumder, \u201cDigital Image Processing and<\/li>\n<li>Analysis\u201d Prentice Hall of India, 2011\/2012 (Print).<\/li>\n<li>Anil K. Jain, \u201cFundamentals of Digital Image Processing,\u201d Prentice Hall of India, 2012.<\/li>\n<li>Milan Sonka, Hlavac &amp; Boyle \u201cDigital Image Processing and Computer Vision,\u201d Cengage Learning Publishers, 2010 (Reprinted).<\/li>\n<\/ul>\n<p>For more information about all JNTU updates please stay connected to us on FB and don\u2019t hesitate to ask any questions in the comment.<\/p>\n<div class=\"a9916ad81d5189659b0bfae0b37c143c\" data-index=\"2\" style=\"float: none; margin:10px 0 10px 0; text-align:center;\">\n<ins class=\"adsbygoogle\"\r\n     style=\"display:block; text-align:center;\"\r\n     data-ad-layout=\"in-article\"\r\n     data-ad-format=\"fluid\"\r\n     data-ad-client=\"ca-pub-1181153414625576\"\r\n     data-ad-slot=\"8060844699\"><\/ins>\r\n<script>\r\n     (adsbygoogle = window.adsbygoogle || []).push({});\r\n<\/script>\n<\/div>\n\n<div style=\"font-size: 0px; height: 0px; line-height: 0px; margin: 0; padding: 0; clear: both;\"><\/div>","protected":false},"excerpt":{"rendered":"<p>JNTUK B.Tech Image Processing gives you detail information of Image Processing R13 syllabus It will be help full to understand you complete curriculum of the year. Unit: 1 : Introduction [&hellip;]<\/p>\n","protected":false},"author":2259,"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":[2],"tags":[],"class_list":["post-826","post","type-post","status-publish","format-standard","hentry","category-syllabus"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/posts\/826","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/users\/2259"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/comments?post=826"}],"version-history":[{"count":1,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/posts\/826\/revisions"}],"predecessor-version":[{"id":827,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/posts\/826\/revisions\/827"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/media?parent=826"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/categories?post=826"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/jntuk\/wp-json\/wp\/v2\/tags?post=826"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}