Cargando…
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London ; San Diego, CA :
Academic Press,
[2023]
|
| Colección: | Hybrid computational intelligence for pattern analysis and understanding series
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | SCIDIR_on1347222916 | ||
| 003 | OCoLC | ||
| 005 | 20231120010707.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 221012s2023 enk ob 001 0 eng d | ||
| 040 | |a YDX |b eng |e rda |e pn |c YDX |d UKAHL |d YDX |d OCLCF |d OPELS |d N$T |d WAU |d OCLCO | ||
| 019 | |a 1352038856 | ||
| 020 | |a 0323985785 |q electronic book | ||
| 020 | |a 9780323983709 |q (electronic bk.) | ||
| 020 | |a 0323983707 |q (electronic bk.) | ||
| 020 | |a 9780323985789 |q (electronic bk.) | ||
| 035 | |a (OCoLC)1347222916 |z (OCoLC)1352038856 | ||
| 050 | 4 | |a TA1637 |b .D54 2023 | |
| 082 | 0 | 4 | |a 777/.5 |2 23 |
| 245 | 0 | 0 | |a Digital image enhancement and reconstruction / |c edited by Shyam Singh Rajput, Nafis Uddin Khan, Amit Kumar Singh, Karm Veer Arya. |
| 264 | 1 | |a London ; |a San Diego, CA : |b Academic Press, |c [2023] | |
| 300 | |a 1 online resource (xxi, 355 pages) : |b illustrations (some color). | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 0 | |a Hybrid computational intelligence for pattern analysis and understanding series | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Video enhancement and super-resolution -- On estimating uncertainty of fingerprint enhancement models -- Hardware and software based methods for underwater image enhancement and restoration -- Denoising and enhancement of medical images by statistically modeling wavelet coefficients -- Medical image denoising using convolutional neural networks -- Multimodel learning of social image representation -- Underwater image enhancement : past, present, and future -- A comparative analysis of image restoration techniques -- Comprehensive survey of face super-resolution techniques -- Fusion-based backlit image enhancement and analysis of results using contrast measure and SSIM -- Recent techniques for hyperspectral image enhancement -- Classification of COVID-19 and non-COVID-19 lung computed tomography images using machine learning -- Brain tumor image segmentation using K-means and fuzzy C-means clustering -- Multimodality medical image fusion in shearlet domain -- IIITM faces : an Indian face image database. | |
| 588 | |a Description based on online resource; title from digital title page (viewed on December 20, 2022). | ||
| 520 | |a 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. | ||
| 650 | 0 | |a Digital images. | |
| 650 | 0 | |a Image processing |x Digital techniques. | |
| 650 | 6 | |a Images num�eriques. |0 (CaQQLa)201-0500629 | |
| 650 | 6 | |a Traitement d'images |x Techniques num�eriques. |0 (CaQQLa)201-0118646 | |
| 650 | 7 | |a digital images. |2 aat |0 (CStmoGRI)aat300215302 | |
| 650 | 7 | |a digital imaging. |2 aat |0 (CStmoGRI)aat300237903 | |
| 650 | 7 | |a Digital images |2 fast |0 (OCoLC)fst01739927 | |
| 650 | 7 | |a Image processing |x Digital techniques |2 fast |0 (OCoLC)fst00967508 | |
| 700 | 1 | |a Rajput, Shyam Singh, |e editor. | |
| 700 | 1 | |a Khan, Nafis Uddin, |e editor. | |
| 700 | 1 | |a Singh, Amit Kumar, |e editor. | |
| 700 | 1 | |a Arya, Karm Veer, |e editor. | |
| 776 | 0 | 8 | |i Print version: |z 9780323985789 |
| 776 | 0 | 8 | |i Print version: |z 0323983707 |z 9780323983709 |w (OCoLC)1289479845 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780323983709 |z Texto completo |