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JNTU-K B.TECH R-19 4-1 Syllabus For Digital image and video processing PDF 2022

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JNTU-K B.TECH R-19 4-1 Syllabus For Digital image and video processing PDF 2022

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You will be able to find information about Digital image and video 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 Digital image and video processing after reading this blog. Digital image and video processing has 5 units altogether and you will be able to find notes for every unit on the CynoHub app. Digital image and video 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 Digital image and video processing are mentioned below in detail. If you are having a hard time understanding Digital image and video 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.

Digital image and video processing Unit One

UNIT 1

FUNDAMENTALS OF IMAGE PROCESSING:
Digital Image Fundamentals, Basic steps of Image Processing System, Sampling and Quantization of an image, relationship between pixels, Imaging Geometry.
IMAGE TRANSFORMS: 2 D-Discrete Fourier Transform, Discrete Cosine Transform (DCT), Haar Transform, Hadamard Transform, Hoteling Transform and slanttransform.

Digital image and video processing Unit Two

UNIT 2

IMAGE ENHANCEMENT:Spatial domain methods: Histogram processing, Fundamentals of Spatial filtering, smoothing
spatial filters, Sharpening spatial filters.FREQUENCY DOMAIN METHODS:Basics of filtering in frequency domain, image smoothing, image sharpening, Selective filtering.

Get Complete Lecture Notes for Digital image and video processing on Cynohub APP

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Digital image and video processing Unit Three

UNIT 3

IMAGE SEGMENTATION:Segmentation concepts, Point,Line and Edge Detection, Edge Linking using Hough Transform, Thresholding, Region Based segmentation.
WAVELET BASED IMAGE PROCESSING:Introduction to wavelet Transform, Continuous wavelet Transform, Discrete wavelet Transform, Filter banks, Wavelet based image compression.

Digital image and video processing Unit Four

IMAGE COMPRESSION

Image compression fundamentals -Coding Redundancy, Spatial and Temporal redundancy, Compression models: Lossy and Lossless, Huffman coding, Arithmetic coding, LZW coding, Runlength coding, Bit plane coding, Transform coding, Predictive coding, JPEG 2000Standards.

Digital image and video processing Unit Five

UNIT 5

IMAGE RESTORATION:Image Restoration Degradation model, Algebraic approach to restoration, Inverse Filtering, Least Mean square filters.
MORPHOLOGICAL IMAGE PROCESSING:Dilation and Erosion, Opening and closing, the hit or miss Transformation, Overview of Digital Image Watermarking
Methods.IV Year-I Semester LTPC3003 DIGITAL IMAGE AND VIDEO PROCESSING

Digital image and video processing Course Objectives

The main objectives of this course are:
Tointroducefundamentalsofdigitalimageprocessingandstudyimagetransforms
To demonstrate digital image processing techniques in spatial and frequency domainsTo study and compare various image compression algorithms
To study advanced image analysis methods: image segmentation, morphological image processing, & image restoration

Digital image and video processing Course Outcomes

At the end of this course the student will be able to:
Acquire, represent the digital image and
transforms.
Apply various intensity-based image processing
techniques.
Apply various pixel position-based image processing techniques

Digital image and video processing Text Books

1.Digital Image Processing-Rafael C. Gonzalez and Richard E.Woods, 3rd Edition, Pearson,2008.
2.Digital Image Processing-S.Jayaraman, S Esakkirajan,T Veerakumar, TMH, 2010.

Digital image and video processing Reference Books

1.Digital Image Processing-William K.Pratt, 3rdEdition, John Willey,2004.
2.Digital Image Processing using MATLAB -Rafael C. Gonzalez, Richard E.Woods and Steven L.Edding 2nd, TMH.2010.
3.Digital Image Processing and Computer Vision-Somka,Hlavac,Boyl, Cengage
Learning,2008
4.Introduction to image Processing and Analysis –John C. Russ, J. Christian Russ,CRCPress, 2010.

Scoring Marks in Digital image and video processing

Scoring a really good grade in Digital image and video 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 B.tech examinations . This video will also inform students on how to score high grades in Digital image and video processing. There are a lot of reasons for getting a bad score in your Digital image and video processing exam and this video will help you rectify your mistakes and help you improve your grades.

Information about JNTU-K B.Tech R-19 Digital image and video 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 Digital image and video processing on Cynohub APP

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