| Sl. No. | Units | |||
| 1. | Digital image & Video fundamentals: Sampling and quantization, resolution, human visual system, image acquisition, classification of digital images, image types, elements of an image/video processing system, image, and video file formats. |
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| 2. | Image & Video Transforms: Discrete Fourier transform, Discrete cosine transform, Hotelling/KL transform, Walsh and Hadamard transforms, Wavelet transform. |
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| 3. | Image & Video Enhancement: Spatial domain enhancement, Enhancement through point operation, Linear and nonlinear gray level transformation, Histogram manipulation, Neighborhood operation, low-pass, high-pass filtering, Median filter, Enhancement in frequency domain, image smoothing and image sharpening |
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| 4. | Morphological Image & Video Processing: Binary morphology- erosion, dilation, opening and closing operations, applications; basic gray scale morphology operations |
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| 5. | Image & Video restoration and Denoising: Degradation models, inverse filter, Wiener filter |
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| 6. | Image & Video Segmentation: Detection of discontinuities, edge based segmentation, edge linking, Thresholding, region-oriented segmentation |
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| 7. | Image & Video Compression: Need for image and video compression, redundancy in images and videos, image and video compression schemes, elements of information theory, variable length coding, transform based compression, image and video compression standards, vector quantization. |
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| Assignments |
Experiments are assigned to the students to learn how to implement image processing algorithms as well as to explore image processing applications for solving practical vision based problems. Experiments basically include problems, like, Identification of Noise Models in Images for Denoising; Medical Image Analysis; Image Transformation; Point Operations, Image Enhancement; Image Restoration; Image Compression; Image Segmentation, etc. All experiments are exclusively implemented using MATLAB toolboxes. |
| Text Books |
| 1. R. C. Gonzalez and R.E. Woods, Digital Image Processing, Pearson Education, 2001. 2. A.K, Jain, Fundamentals of Digital Image Processing, Pearson Education, 1989. |
| Reference Book |
| 1. S. Jayaraman, S. Esakkiranjan, and T. Veerakumar, Digital Image Processing, Tata McGraw Hill, 2009. |