fender
发表于 2025-3-25 05:21:19
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
贪婪的人
发表于 2025-3-25 09:03:51
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脖子
发表于 2025-3-25 14:18:14
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
钉牢
发表于 2025-3-25 18:24:24
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Irascible
发表于 2025-3-25 21:00:18
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 (
nascent
发表于 2025-3-26 01:33:22
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
含糊
发表于 2025-3-26 04:18:30
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Pamphlet
发表于 2025-3-26 11:19:41
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吸引人的花招
发表于 2025-3-26 12:51:22
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
手工艺品
发表于 2025-3-26 20:09:25
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