Fundamentals of digital image processing Anil K Jain
Material type: TextLanguage: English Publication details: Noida : Pearson Education, 2015.Description: xxi, 569p. : ill. ; 24cmISBN:- 9789332551916
- 621.367 JAI
Contents:
1. Two Dimensional Systems and Mathematical Preliminaries.
2. Image Perception.
3. Image Sampling and Quantization.
4. Image Transforms.
5. Image Representation by Stochastic Models.
6. Image Enhancement.
7. Image Filtering and Restoration.
8. Image Analysis and Computer Vision.
9. Image Reconstruction From Projections.
10. Image Data Compression.
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
General Books | CUTN Central Library Medicine, Technology & Management | Non-fiction | 621.367 JAI (Browse shelf(Opens below)) | Available | 34278 | |
General Books | CUTN Central Library Medicine, Technology & Management | Non-fiction | 621.367 JAI (Browse shelf(Opens below)) | Available | 34279 | |
General Books | CUTN Central Library Medicine, Technology & Management | Non-fiction | 621.367 JAI (Browse shelf(Opens below)) | Available | 34280 | |
Reference Books | CUTN Central Library Medicine, Technology & Management | Reference | 621.367 JAI (Browse shelf(Opens below)) | Not For Loan | 34281 | |
General Books | CUTN Central Library Medicine, Technology & Management | Non-fiction | 621.367 JAI (Browse shelf(Opens below)) | Available | 34021 |
Browsing CUTN Central Library shelves, Shelving location: Medicine, Technology & Management, Collection: Non-fiction Close shelf browser (Hides shelf browser)
621.367 JAH Digital image processing | 621.367 JAI Fundamentals of digital image processing | 621.367 JAI Fundamentals of digital image processing | 621.367 JAI Fundamentals of digital image processing | 621.367 JAI Fundamentals of digital image processing | 621.367 LIA Advanced remote sensing / | 621.367 LIL Remote sensing and image interpretation |
1. Two Dimensional Systems and Mathematical Preliminaries.
2. Image Perception.
3. Image Sampling and Quantization.
4. Image Transforms.
5. Image Representation by Stochastic Models.
6. Image Enhancement.
7. Image Filtering and Restoration.
8. Image Analysis and Computer Vision.
9. Image Reconstruction From Projections.
10. Image Data Compression.
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