Diffusion Tensor Imaging (DTI) is a non-invasive magnetic resonance imaging technique that, combined with fiber tracking algorithms, allows the characterization and visualization of white matter structures in th
Martin, D., Fowlkes, C., Tal, D., & Malik, J.: A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In: Proceedings of the IEEE International Conference on Computer Vision, (2002) Huang, J.B., Singh, A...
In recent years, significant advancements have been made in the field of image denoising, leading to the emergence of a plethora of sophisticated algorithms. Broadly, these algorithms can be categorized into two primary groups: the conventional methods reliant on artificial features, and those anchored...
In this paper, we have emphasized the primary role played by nonlinear subband decomposition structures for lossless image compression. The proposed framework not only provides a unifying view of existing methods but also allows the design of more efficient compression algorithms. In particular, the re...
Deep learning-based inpainting algorithms for these datasets are broadly classified into two categories: convolutional neural networks (CNNs) and generative adversarial networks (GANs). 2.1 Image inpainting datasets The Places2 dataset is widely used in image inpainting research [27]. It is designed ...
Extended from the SIS scheme introduced in [16], the authors proposed three PSIS algorithms with selective progressive thresholds. They set different thresholds for each image pixel to achieve the effect of progressive reconstruction. At the same time, some applications want to differentiate the ...
It involves applying various image processing algorithms to improve the quality and contrast of the fingerprint patterns, making them more distinguishable from the background. Many deep learning and machine learning techniques have been applied to this problem due to their ability to automatically learn...
The application of intelligent optimization algorithms in geometric design[D]. Hangzhou: Zhejiang University of Technology, 2017(in Chinese)(胡良臣. 智能优化算法在几何设计中的应用[D]. 杭州: 浙江工业大学, 2017). Google Scholar [36] Zhang Y, Wang P, Bao F, et al. A Single-Image Super...
Wavelet-based lossy compression techniques are of particular interest due to their long history of providing excellent rate-distortion performance for traditional 2D imagery. Consequently, a number of prominent 2D compression algorithms have been extended to 3D. These include the 3D extensions of JPEG...
In other words, the system may apply different training algorithms to each of the DNNs in the sequence of DNNs. For example, one or more of the DNNs in the sequence of DNNs may be trained on image classification, whereas one or more other DNNs in the sequence of DNNs may be trained ...