Develops sequential and progressive algorithms for finding endmembers as they relate to real time hyperspectral image processing Designs algorithms for anomaly detection from causality and real time perspectives
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...
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...
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 ...
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 ...
Now we used AI in many domains likeNLP(Natural Language Processing)自然语言处理,Compute Vision计算机视觉(image recognition, object detection, etc...),Recommendation System推荐系统,Robot机器人etc... Each domain has its own algorithms, but some algorithms are the same. ...
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...
It would be challenging for a straightforward one-step prediction to make an accurate registration for remote pair of images. Iterative optimization or progressive registration is a natural option to alleviate this problem. This idea can be traced back to those traditional algorithms that iteratively ...