Image Processing Syllabus & Question Bank PDF

Subject:Image Processing Regulation:R22 Subject code:MR22-1IT0134 Year&Sem:III.B.Tech I Sem Q.No Question Marks Section Unit No 1...

Subject:Image Processing Regulation:R22 Subject code:MR22-1IT0134 Year&Sem:III.B.Tech I Sem Q.No Question Marks Section Unit No 1 Describe the fundamental steps in image processing? 8M Section-I I 2 Explain the basic Elements of digital image processing 8M Section-I I 3 Describe the basic relationship between the pixels 8M Section-I I 4 Explain how an analog image converted to digital image 4M Section-I I Explain about sampling and quantization 4M 5 Explain about visual perception of human eye 8M Section-I I 6 Explain about image acquisition methods in image processing 8M Section-I I 7 Explain about camera model 8M Section-I I 8 Explain about image geometry in image processing 8M Section-I I 9 What is an image? Define image processing and explain 8M Section-I I representation of image in detail? 10 Explain about different types of images 4M Section-I I Explain how gray level image converted to binary image 4M 11 Explain about need of image transform in image processing? 8M Section-II II Explain about 1-D and 2-D continuous and discrete F.T in detail? 12 What is Image Transform?. What is the need for transform? 4M Section-II II 4M Define Fourier transform pair ?Give the relation for 1-D discrete Fourier transform pair 13 Specify the properties of 2D Fourier transform. 4M Section-II II Explain the separability property in 2D Fourier transform 4M 14 Explain Discrete Fourier Transform in detail. 8M Section-II II 15 Explain the Properties of 2D discrete Fourier Transform 8M Section-II II 16 Write short notes on Haar transform 4M Section-II II 4M Write slant transform matrix SN. 17 Discuss Hadmard transform in detail 8M Section-II II 18 Explain Walsh Transform with suitable equations 8M Section-II II 19 Explain Discrete cosine transform in detail 8M Section-II II 20 Explain about Fast Fourier Transform in detail 8M Section-II II 21 Explain about Histogram processing ? Explain Histogram 8M Section-III III equalization with one example? 22 Explain about Spatial Filtering in image enhancement 8M Section-III III 23 Explain about image enhancement in spatial domain? 8M Section-III III 24 Explain about image enhancement in frequency domain? 8M Section-III III 25 What is image restoration ?Briefly explain it 4M Section-III III Explain about degradation model in detail? 4M 26 Explain different types of image restoration techniques? 4M Section-III III Explain about linear methods in image restoration? 4M 27 Explain about inverse filtering and wiener filtering? 8M Section-III III 28 Explain about image smoothing? 4M Section-III III Explain about image sharpening? 4M 29 Explain about image enhancement? Explain about point 8M Section-III III processing techniques in detail? 30 Explain about restoration and degradation model in detail? 8M Section-III III Explain about constrained Least square filtering 31 Discuss region oriented segmentation in detail 8M Section-IV IV 32 Explain about edge based segmentation in detail? 8M Section-IV IV 33 Write short notes on image segmentation 4M Section-IV IV 4M Write short notes on edge detection 34 Explain about classification of image segmentation techniques 8M Section-IV IV 35 Explain about segmentation based on thresholding 8M Section-IV IV 36 Explain what is segmentation?list some applications of image 8M Section-IV IV segmentation?What are the three types of discontinuity in digital image? 37 Define Gradient Operator?What is global, Local and dynamic or 8M Section-IV IV adaptive threshold?Define region growing? 38 Explain about classification of edges? 4M Section-IV IV Explain about edge linking? 4M 39 Explain about classification of edges in image segmentation 8M Section-IV IV 40 What is edge?Write about linking edge points ?What are the two 8M Section-IV IV properties used for establishing similarity of edge pixels? 41 Explain about compression and need for compression in image 8 M Section-V V processing 42 Explain about redundancy in images 8M Section-V V 43 Explain about classification of redundancy in images 8M Section-V V 44 Explain about image compression and classification? 4M Section-V V Explain about image compression scheme? 4M 45 Explain Run-length coding with example? 8M Section-V V 46 Explain about fundamentals of information theory? 4M Section-V V Explain about classification of image compression schemes? 4M 47 Explain shannon-Fano coding with any one example 8M Section-V V 48 Explain Huffman coding with any example 8M Section-V V 49 Explain about Error free Compression? 4M Section-V V Explain about Lossy compression? 4M 50 Differntiate between lossless and lossy compression 8M Section-V V  MALLA REDDY UNIVERSITY III Year B.Tech CBCS pool L/T/P/C 3/0/0/3 (MR22-1IT0134) IMAGE PROCESSING COURSE OBJECTIVES:  Provide a theoretical and mathematical foundation of fundamental Digital ImageProcessing concepts.  Provide topics include image acquisition; preprocessing and transformationtechniques.  Provide analysis about enhancement in spatial and frequency domain and restorationprocess.  Provide analysis about segmentation process with image.  Provide knowledge about compression process. UNIT I: 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. UNIT-II: Image Transforms: 2-DFT, DFT properties, Walsh transform, Hadmard Transform, DiscreteCosine Transform, Slant Transform, Haar Transform. UNIT-III: Image Enhancement: Point Processing, Histogram Processing, Spatial Filtering, Enhancement in Frequency Domain, Image Smoothing, Image Sharpening. Image Restoration and denoising: Image Degradation, Types of Image blur, Image Restorationmodel, Linear Image restoration techniques: Inverse filtering, wiener filtering, constrained least square filtering. UNIT –IV: Image Segmentation: Classification of Image Segmentation Techniques, Region approach to Image Segmentation, Image segmentation based on Thresholding, Edge based Segmentation, Classification of Edges, Edge detection and Edge Linking. UNIT –V: Image Compression: Introduction about Compression, Need for Image Compression, Redundancy in Images, Classification of Redundancy in Images, Image-compression Scheme, Classification of Image-compression Schemes , Fundamentals of Information Theory , Run- length Coding , Shannon-Fano Coding, Huffman Coding. Reference Books: 1. Rafael C.Gonzalez, Richard E. Woods, “Digital Image Processing”, 4th edition, Pearson Publication, 2018. 2. S Jayaraman, S Esakkirajan, T Veerakumar, S Jayaraman, “Digital ImageProcessing”, 2nd edition, McGraw Hill, 2020. 3. Milan Sonka,Vaclav Hlavac, “Image Processing, Analysis, and Machine Vision”, 4thedition, Cengage India Private Limited, 2017. 4. Anil K. Jain, “Fundamentals of Digital Image Processing”, 1st Edition, Pearson, 2015. 5. S. Sridhar, Digital Image Processing, Oxford University Press, 2nd Ed, 2016. COURSE OUTCOMES:  Review the fundamental concepts of a digital image processing system.  Analyze images in the frequency domain using various transforms  Evaluate the techniques for image enhancement and image restoration.  Interpret image segmentation and representation technique  Categorize various compression techniques.