In progressive image processing, it is desirable to use algorithms that produce outputs of 2-D transformations in successive steps throughout the computations. We propose an example of these algorithms for successive inversion of discrete cosine transformed images. The approach is suitable for ...
Broadly, these algorithms can be categorized into two primary groups: the conventional methods reliant on artificial features, and those anchored in deep learning techniques17. Moreover, within the realm of traditional image denoising, methods have been largely rooted in artificial features and can be...
Recently, two new concepts of real time hyperspectral image processing, Progressive Hyperspectral Imaging (PHSI) and Recursive Hyperspectral Imaging (RHSI). Both of these can be used to design algorithms and also form an integral part of real time hyperpsectral image processing. This book focuses...
New image compression techniques using multiwavelets and multiwavelet packets Advances in wavelet transforms and quantization methods have produced algorithms capable of surpassing the existing image compression standards like the Jo... MB Martin,AE Bell - 《IEEE Transactions on Image Processing A Publicat...
It is the most classical method for texture synthesis. However, patch-based algorithms do have certain drawbacks. These methods require a large amount of computation during the search process, and they rely on external databases or networks. When there are no similar and reasonable image patches ...
Therefore, image super-resolution technology that restores low-resolution depth maps to high-quality, high-resolution depth maps is of great research significance. Previous researchers have proposed various DSR (depth super-resolution) algorithms to address this issue, such as interpolation-based methods...
visual and most of the downloaded content on a page is images and videos, image optimization is key to user experience. In an ongoing effort to get the most out of everyimage format, we continuously enhance our image encoding and processing algorithms for the best possible end-user experience...
Currently almost all denoising algorithms are implemented by processing original noisy image itself simply, which could not enhance the performance further by combining original noisy image with the denoised image. To solve the problem, ... H Li,W Cao,S Li,... - 《Journal of System Simulation...
Other algorithms designed to improve the infrared image quality are served as post-processing techniques. Based on the convolutional neural network (CNN), some approaches were proposed for single thermal image enhancement [7], [8]. Several methods also registered and fused multiple infrared images ...
This section focuses on the evaluation of the proposed method using the third dataset—i.e., the S-ROSeS dataset—and on the comparison with different methods from the state of the art for this task: U-Net [63], SegNet [64], and DeepLab v3 [28], as well-known algorithms for segmenta...