Computational intelligence methods f...
Deshpande, Anand.

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  • Computational intelligence methods for super-resolution in image processing applications
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Computational intelligence methods for super-resolution in image processing applications/ edited by Anand Deshpande, Vania V. Estrela, Navid Razmjooy.
    其他作者: Deshpande, Anand.
    出版者: Cham :Springer International Publishing : : 2021.,
    面頁冊數: xiv, 305 p. :ill., digital ;24 cm.
    內容註: Part I. A Panorama of Computational Intelligence in Super-Resolution Imaging -- Chapter 1. Introduction to Computational Intelligence and Super-Resolution -- Chapter 2. Review on Fuzzy Logic Systems with Super-Resolved Imaging and Metaheuristics for Medical Applications -- Chapter 3. Super-Resolution with Deep Learning Techniques-A Review -- Chapter 4. A Comprehensive Review of CAD Systems in Ultrasound and Elastography for Breast Cancer Diagnosis -- Part II. State-of-the-Art Computational Intelligence in Super-Resolution Imaging -- Chapter 5. Pictorial Image Synthesis from Text and Its Super-Resolution using Generative Adversarial Networks -- Chapter 6. Analysis of Lossy and Lossless Compression Algorithms for Computed Tomography Medical Images Based on Bat and Simulated Annealing Optimization Techniques -- Chapter 7. Super resolution-based Human-Computer Interaction System for Speech and Hearing Impaired using Real-Time Hand Gesture Recognition System -- Chapter 8. Lossy Compression of Noisy Images Using Autoencoders for Computer Vision Applications -- Chapter 9. Recognition of Handwritten Nandinagari Palm Leaf Manuscript Tex -- Chapter 10. Deep Image Prior and Structural Variation Based Super-Resolution Network for Fluorescein Fundus Angiography Images -- Chapter 11. Lightweight Spatial Geometric Models Assisting Shape Description and Retrieval and Relative Global Optimum Based Measure for Fusion -- Chapter 12. Dual-Tree Complex Wavelet Transform and Deep CNN-based Super-Resolution for Video Inpainting with Application to Object Removal and Error Concealment -- Chapter 13. Super-Resolution Imaging and Intelligent solution for Classification, Monitoring and Diagnosis of Alzheimer's Disease -- Chapter 14. Image Enhancement using Non-Local Prior and Gradient Residual Minimization for Improved Visualization of Deep Underwater Image -- Chapter 15. Relative Global Optimum Based Measure for Fusion Technique in Shearlet Transform Domain for Prognosis of Alzheimer Disease.
    Contained By: Springer Nature eBook
    標題: Computer vision. -
    電子資源: https://doi.org/10.1007/978-3-030-67921-7
    ISBN: 9783030679217
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