Papers Demoire
“Demoire” 태그가 달린 논문 4편 · 필터 해제
Self-Adaptively Learning to Demoire from Focused and Defocused Image Pairs
Moire artifacts are common in digital photography, resulting from the interference between high-frequency scene content and the color filter array of the camera. Existing deep learning-based demoireing methods trained on…
DemoireTest-time AdaptationWavelet-Based Dual-Branch Network for Image Demoireing
When smartphone cameras are used to take photos of digital screens, usually moire patterns result, severely degrading photo quality. In this paper, we design a wavelet-based dual-branch network (WDNet) with a spatial att…
DemoireImage RestorationRain RemovalImage Demoireing with Learnable Bandpass Filters
Image demoireing is a multi-faceted image restoration task involving both texture and color restoration. In this paper, we propose a novel multiscale bandpass convolutional neural network (MBCNN) to address this problem.…
DemoireImage EnhancementImage RestorationLow-Light Image Enhancement+1AIM 2019 Challenge on Image Demoireing: Methods and Results
This paper reviews the first-ever image demoireing challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ICCV 2019. This paper describes the challenge, and focuses on the …
DemoireImage Manipulation