Digital Image Enhancement and Reconstruction: Techniques and Applications explores different concepts and techniques used for the enhancement as well as reconstruction of low-quality images. Most real-life applications require good quality images to gain maximum performance, however, the quality of the images captured in real-world scenarios is often very unsatisfactory. Most commonly, images are noisy, blurry, hazy, tiny, and hence need to pass through image enhancement and/or reconstruction algorithms before they can be processed by image analysis applications. This book comprehensively explores application-specific enhancement and reconstruction techniques including satellite image enhancement, face hallucination, low-resolution face recognition, medical image enhancement and reconstruction, reconstruction of underwater images, text image enhancement, biometrics, etc. Chapters will present a detailed discussion of the challenges faced in handling each particular kind of image, analysis of the best available solutions, and an exploration of applications and future directions. The book provides readers with a deep dive into denoising, dehazing, super-resolution, and use of soft computing across a range of engineering applications.
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1. Fundamentals of Image Enhancement: Techniques and applications
2. Fundamentals of Image Reconstruction: Concepts and Challenges
3. Soft Computing based Image Reconstruction and Enhancement
4. Image Enhancement for Underwater Images
5. Image Enhancement and Reconstruction for Smart Healthcare
6. Super-resolution of medical images – to come
7. Image Enhancement Techniques Used in Remote Sensing Satellite Imagery
8. Low Contrast Image Enhancement
9. Image Dehazing – to come
10. AI for Image enhancement and reconstruction – to come
11. Enhancement and Reconstruction of Night Vision Images
12. Color Image Reconstruction and Enhancement
13. Video Enhancement and Super-resolution
14. Biometric Image Enhancement and Reconstruction
15. 3D Image Reconstruction and Enhancement
16. Deep-Learning-Based Image Reconstruction and Enhancement
17. Image Reconstruction and Enhancement for Retinal Fundus Images
18. Image Enhancement in Agriculture
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Advanced coverage of digital image processing and applications research
Presents comprehensive coverage of digital image enhancement and reconstruction techniques
Explores applications across range of fields, including intelligent surveillance systems, human-computer interaction, healthcare, agriculture, biometrics, modelling
Explores different challenges and issues related to the implementation of various techniques for different types of images, including denoising, dehazing, super-resolution, and use of soft computing
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Produktdetaljer
ISBN
9780323983709
Publisert
2022-10-11
Utgiver
Vendor
Academic Press Inc
Vekt
590 gr
Høyde
229 mm
Bredde
152 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
378
Redaktør