JNTUH B.TECH R18 3-1 Syllabus For image processing PDF 2022


JNTUH B.TECH R18 3-1 Syllabus For image processing PDF 2022

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You will be able to find information about image processing along with its Course Objectives and Course outcomes and also a list of textbook and reference books in this blog.You will get to learn a lot of new stuff and resolve a lot of questions you may have regarding image processing after reading this blog. image processing has 5 units altogether and you will be able to find notes for every unit on the CynoHub app. image processing can be learnt easily as long as you have a well planned study schedule and practice all the previous question papers, which are also available on the CynoHub app.

All of the Topic and subtopics related to image processing are mentioned below in detail. If you are having a hard time understanding image processing or any other Engineering Subject of any semester or year then please watch the video lectures on the official CynoHub app as it has detailed explanations of each and every topic making your engineering experience easy and fun.

image processing Unit One


Digital Image Fundamentals: Digital Image through Scanner, Digital Camera. Concept of Gray Levels. Gray Level to Binary Image Conversion. Sampling and Quantization. Relationship between Pixels. Imaging Geometry. 2D Transformations-DFT, DCT, KLT and SVD.

image processing Unit Two


Image Enhancement in Spatial Domain Point Processing, Histogram Processing, Spatial Filtering, Enhancement in Frequency Domain, Image Smoothing, Image Sharpening.

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image processing Unit Three


Image Restoration Degradation Model, Algebraic Approach to Restoration, Inverse Filtering, Least Mean Square Filters, Constrained Least Squares Restoration, Interactive Restoration.

image processing Unit Four


Image Segmentation Detection of Discontinuities, Edge Linking and Boundary Detection, Thresholding, Region Oriented Segmentation.

image processing Unit Five


Image Compression Redundancies and their Removal Methods, Fidelity Criteria, Image Compression Models, Source Encoder and Decoder, Error Free Compression, Lossy Compression.

image processing Course Objectives

Provide a theoretical and mathematical foundation of fundamental Digital Image Processing concepts.
The topics include image acquisition; sampling and quantization; preprocessing; enhancement; restoration; segmentation; and compression.

image processing Course Outcomes

Demonstrate the knowledge of the basic concepts of two-dimensional signal acquisition, sampling, and quantization.
Demonstrate the knowledge of filtering techniques.
Demonstrate the knowledge of 2D transformation techniques.
Demonstrate the knowledge of image enhancement, segmentation, restoration and compression techniques.

image processing Text Books

1. Digital Image Processing: R.C. Gonzalez & R. E. Woods, Addison Wesley/ Pearson Education, 2nd Ed, 2004.

image processing Reference Books

Fundamentals of Digital Image Processing: A. K. Jain, PHI.
Digital Image Processing using MAT LAB: Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins: Pearson Education India, 2004.
Digital Image Processing: William K. Pratt, John Wilely, 3rd Edition, 2004.

Scoring Marks in image processing

Scoring a really good grade in image processing is a difficult task indeed and CynoHub is here to help!. Please watch the video below and find out how to get 1st rank in your examinations . This video will also inform students on how to score high grades in image processing. There are a lot of reasons for getting a bad score in your image processing exam and this video will help you rectify your mistakes and help you improve your grades.

Information about JNTUH B.Tech R18 image processing was provided in detail in this article. To know more about the syllabus of other Engineering Subjects of JNTUH check out the official CynoHub application. Click below to download the CynoHub application.

Get Complete Lecture Notes for image processing on Cynohub APP

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