Medical image synthesis via conditional GANs: Application to segmenting brain tumours New multi-scale Markovian discriminator and generator introduced for high-contrast image synthesis.Adversarial loss in ESGAN enhanced with classifier loss ... M Hamghalam,AL Simpson - 《Computers in Biology & Medicine...
herein is a method of image processing in which the symmetry of the detail signal obtained from the `X` filter can be modified by using a supplementary detail signal obtained from a linear filter to compensate for any asymmetry in the horizontal or vertical resolution of the original image. ...
image data storage area (picture data area) for storage of the image data and at least a color data tables storage area (CLUT area) for storage of multiple color lookup data tables in a two- dimensional arrangement, each color data table including a color data wherein the structure is ...
Full size image To further understand this phenomenon, we investigated whether the observed effects might be due to the different capabilities of the image processing algorithms to resolve clathrin-coated pits. To do this, in Supplementary Notes 3–5 we theoretically analyzed the impact of limited ...
Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization, TIP, 2011.[Website](Clustering is a very effective trick and local and nonlocal regularization terms are very powerful! Other good sparsity-based super-resolution methods can be found in Prof.Lei ...
In this work we propose the use of convolutional neural networks (CNN) for image inpainting of large regions in high-resolution textures. Due to limited computational resources processing high-resolution images with neural networks is still an open problem. Existing methods separate inpainting of ...
We develop a probability model for natural images, based on empirical observation of their statistics in the wavelet transform domain. Pairs of wavelet coe... RW Buccigrossi,EP Simoncelli - 《IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society》 被引量: 1248...
It is well-known that deep learning-based methods need substantial amounts of data for robust training, typically requiring a ground-truth in a supervised setting so that the model knows what is the end goal. In the case of SR, this means having the original high-resolution image AND th...
Image Super-Resolution for Anime-style art using Deep Convolutional Neural Networks. And it supports photo. The demo application can be found athttps://waifu2x.udp.jp/(Cloud version),https://unlimited.waifu2x.net/(In-Browser version).
Image inpainting aims to synthesize missing regions in images that are coherent with the existing visual content. Generative adversarial networks have made significant strides in the development of image inpainting. However, existing approaches heavily r