Band selection (BS) is one of the most important topics in hyperspectral image (HSI) processing. The objective of BS is to find a set of representative bands that can represent the whole image with lower inter-band redundancy. Many types of BS algorithms were proposed in the past. However,...
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 ...
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...
Overall, our model performs favorably against other algorithms. Compared to the previous best performing technique [70], our method achieves 9% im- provement in PSNR and 21% in SSIM on the GoPro [53] dataset, and a 11% and 13% reduction in error on the HIDE dataset [69]. It is ...
Region-Growing Algorithms (RGAs) are used to grade the quality of manufactured wood flooring. Traditional RGAs are hampered by prob-lems of long segmentati... Y Zhang,S Liu,J Cao,... - 《Journal of Forestry Research》 被引量: 8发表: 2014年 The Reconstruction of Polyominoes from Horizont...
Chapter 7 Lossless Compression Algorithms 热度: Image compression and digital image processing 热度: A Block-sorting Lossless Data Compression Algorithm 热度: 相关推荐 F ast progressiv e lossless image compression P aul G. Ho w ard � and Je�rey Scott Vitter y � A T&T Bell Lab ...
on noisy channels is to use fixed-rate image compression techniques, and those not based upon finite state algorithms. However, some of these techniques have the disadvantages of not being progressive, not performing as well for good quality ...
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...
Advanced compression algorithms significantly reduce the bandwidth expenditure needed to transmit meshes. However, to cope with the intense data requirements for low-latency streaming of mesh representations, adaptive solutions are often needed alongside efficient coding solutions. In the case of meshes, ne...