Opening book details…
Can I read Medical Image Denoising Using Convolutional Neural Networks on EtoBox?
Medical Image Denoising Using Convolutional Neural Networks by Rini Smita Thakur; Shubhojeet Chatterjee; Ram Narayan Yadav; Lalita Gupta is a book available to read on EtoBox.
What is Medical Image Denoising Using Convolutional Neural Networks about?
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 co
- Author
- Rini Smita Thakur; Shubhojeet Chatterjee; Ram Narayan Yadav; Lalita Gupta
- Publisher
- ELSEVIER ACADEMIC PRESS
- Published
- 2023
- Language
- EN
- ISBN
- 9780323985789
- Subjects
- Computer Science, Technology, Photography
More by Rini Smita Thakur; Shubhojeet Chatterjee; Ram Narayan Yadav; Lalita Gupta
Browse all works by Rini Smita Thakur; Shubhojeet Chatterjee; Ram Narayan Yadav; Lalita Gupta
Similar books
- Electroencephalography Image Classification Using Convolutional Neural Networks — Mohammad Gouse Galety; Firas Al-Mukhtar; Fanar Rofoo; A. V. Sriharsha; Rebaz Maaroof (2022)
- Convolutional Neural Networks for Image Denoising and Restoration — Wangmeng Zuo; Kai Zhang; Lei Zhang (2018)
- Improving Robustness of Medical Image Diagnosis with Denoising Convolutional Neural Networks — Fei-Fei Xue; Jin Peng; Ruixuan Wang; Qiong Zhang; Wei-Shi Zheng (2019)
- Breast Cancer Histopathological Image Classification Using Convolutional Neural Networks — Ankita Adhikari; Ashesh Roy Choudhuri; Debanjana Ghosh; Neela Chattopadhyay; Rupak Chakraborty (2021)
- Medical Image Analysis Using Deep Learning Algorithm Convolutional Neural Networks — D. Raghu; Hrudaya Kumar Tripathy (2022)
- Spectral-Spatial Hyperspectral Image Classification Using Cascaded Convolutional Neural Networks — Gurbandurdy Dovletov; Tobias Hegemann; Josef Pauli (2019)