Digital Image Enhancement and Reconstruction

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. 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 INDICE: 1. Fundamentals of Image Enhancement: Techniques and applications2. Fundamentals of Image Reconstruction: Concepts and Challenges3. Soft Computing based Image Reconstruction and Enhancement4. Image Enhancement for Underwater Images5. Image Enhancement and Reconstruction for Smart Healthcare6. Super-resolution of medical images - to come7. Image Enhancement Techniques Used in Remote Sensing Satellite Imagery8. Low Contrast Image Enhancement9. Image Dehazing - to come10. AI for Image enhancement and reconstruction - to come11. Enhancement and Reconstruction of Night Vision Images12. Color Image Reconstruction and Enhancement13. Video Enhancement and Super-resolution14. Biometric Image Enhancement and Reconstruction15. 3D Image Reconstruction and Enhancement16. Deep-Learning-Based Image Reconstruction and Enhancement17. Image Reconstruction and Enhancement for Retinal Fundus Images18. Image Enhancement in Agriculture

• ISBN: 978-0-323-98370-9
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 360
• Fecha Publicación: 01/08/2022
• Nº Volúmenes: 1
• Idioma: Inglés