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: Reference Close shelf browser (Hides shelf browser)
620.11 GOE Encyclopedia of Material Science | 620.5 LYS Nanoengineering, quantum science, and, nanotechnology handbook / | 621.312 ROW Thermoelectrics handbook : macro to nano / | 621.367 JAI Fundamentals of digital image processing | 621.367 LIA Comprehensive remote sensing | 621.367 LIA Comprehensive remote sensing | 621.367 LIA Comprehensive remote sensing |
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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