Titlebook: Computer Vision – ACCV 2020; 15th Asian Conferenc Hiroshi Ishikawa,Cheng-Lin Liu,Jianbo Shi Conference proceedings 2021 Springer Nature Swi

accordance

Astigmatism

https://doi.org/10.1007/978-1-349-03555-7with deep convolutional neural networks (DCNN) have made great progress in this task. However, the conventional DCNN-based deraining methods have struggled to exploit deeper and more complex network architectures for pursuing better performance. This study proposes a novel MCGKT-Net for boosting der

Acetaldehyde

https://doi.org/10.1007/978-1-349-03555-7ted by applying a simple degradation operator (e.g., bicubic downsampling) to its high-resolution (HR) counterpart, have limited generalization capability on real-world LR images, whose degradation process is much more complex. Several real-world SISR datasets have been constructed to reduce this ga

群居動(dòng)物

Cognizance

不真

https://doi.org/10.1007/978-1-349-03555-7tructing ghosting-free HDR images of dynamic scenes from a set of multi-exposure images is a challenging task, especially with large object motion, disparity, and occlusions, leading to visible artifacts using existing methods. In this paper, we propose a Pyramidal Alignment and Masked merging netwo

Liberate

The Dictionary of Even More Diseased Englisho devise a dual camera system using a high spatial resolution (HSR) monochrome camera and another low spatial resolution (LSR) color camera for synthesizing the high-quality color image under low-light illumination conditions. The key problem is how to efficiently learn and fuse cross-camera informa

Finasteride

https://doi.org/10.1007/978-1-349-17125-5g tasks. However, because of the difference of statistical characteristics of signal-dependent noise and signal-independent noise, it is hard to model real noise for training and blind real image denoising is still an important challenge problem. In this work we propose a method for blind image deno

Custodian

Dominique Guin,Kenneth Ruthven,Luc Trouchea single distortion only may not be suitable for many real-world applications. To deal with such cases, some studies have proposed sequentially combined distortions datasets. Viewing in a different point of combining, we introduce a spatially-heterogeneous distortion dataset in which multiple corrup

cliche

Paul Drijvers,Koeno Gravemeijerctor subnetwork with dilated convolution is used to estimate a global color transformation matrix. The introduction of the dilated convolution enhances the ability to aggregate spatial information. Secondly, the local features extractor subnetwork with a light dense block structure is designed to le