Titlebook: Computational Intelligence Methods for Super-Resolution in Image Processing Applications; Anand Deshpande,Vania V. Estrela,Navid Razmjooy

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Analysis of Lossy and Lossless Compression Algorithms for Computed Tomography Medical Images Based oable in telemedicine. This chapter proposes lossy and lossless compression schemes for the medical images. This work highlights variants of lossy vector quantization algorithm, bat optimization coupled with vector quantization (Bat-VQ), and contextual vector quantization based on the simulated annea

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Lossy Compression of Noisy Images Using Autoencoders for Computer Vision Applicationsus vehicles. In this context, deep neural networks (DNNs) have extraordinary capabilities and are widely used. Convolutional neural networks (CNNs), for the most part, comprise a prevalent class of DNNs analyzing visual imagery. However, CNN’s performances depend entirely on two main issues. The fir

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Deep Image Prior and Structural Variation-Based Super-Resolution Network for Fluorescein Fundus Angiesolution due to the limitations of the image acquisition mechanisms. Super-resolving these images with image processing approaches is a cost-effective solution for improving these images’ diagnostic values. This chapter recommends a model for FFA images’ super-resolution, merging deep image prior (

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Lightweight Spatial Geometric Models Assisting Shape Description and Retrievalendered descriptors collated in this chapter. Accordingly, a couple of geometrical models are contributed and relatively tested for shape categorization using a supervised classifier in this chapter. The primary intention is to illustrate geometrical models’ active exploitation in building simple sh

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Image Enhancement Using Nonlocal Prior and Gradient Residual Minimization for Improved Visualizations are gravely hazed and degraded. This results in low contrast of the underwater image. In literature, many algorithms aim to dehaze and enhance an image’s quality. The NLP-GRM method aims to design an efficient algorithm that carries out superior results under a different environmental condition in

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