WebOct 11, 2024 · Highlight removal from a single input image has been studied for decades. In this section, we briefly review previous highlight removal methods based on various ideas. In contrast to previous methods, we proposes an end-to-end and fully automatic framework to remove the highlight in facial images. WebApr 11, 2024 · Warren Keller. Step 1: The R Coronae Australis complex is one of the closest star-forming regions, at a distance of only 420 light-years. It features delicate reflection and dark nebulae that are ...
Generative adversarial networks for specular highlight removal in ...
WebJan 12, 2024 · Endoscopic imaging systems have been widely used in disease diagnosis and minimally invasive surgery. Practically, specular reflection (a.k.a. highlight) always exists in endoscopic images and significantly affects surgeons’ observation and judgment. Motivated by the fact that the values of the red channel in nonhighlight area of endoscopic images … WebAug 1, 2015 · A robust and effective specular highlight removal method is proposed, based on a key observation-the maximum fraction of the diffuse colour component in diffuse local patches in colour images changes smoothly and can be treated as noise in this case. 71. PDF. View 1 excerpt, references background. dwai on your record
Real-Time Highlight Removal From a Single Image - Vítor Saraiva …
WebAccording to the number of input images, specular highlight removal methods can be divided into two main categories: single-image-based method and multiple-image-based … WebReal-Time High-Quality Specular Highlight Removal Using Efficient Pixel Clustering by Antonio Souza, Márcio Macedo, Verônica Nascimento and Bruno Oliveira. Introduction This is a C++/OpenCV/CUDA application for real-time specular highlight removal in still images. Technical details are provided in our SIBGRAPI 2024 paper. WebMar 12, 2024 · In this paper, we propose a machine learning approach for automatic specular highlight removal from a single endoscopic image. We train a residual convolutional neural network (CNN) to localize and remove specular highlights in endoscopic images using weakly labeled data. The labels merely indicate whether an … crystal clear behavioral health services inc