Aug 29, 2023 � This work targets removing the specular reflections from the endoscopy images but maintaining the structural and semantic texture in the images.
Request PDF | On Aug 29, 2023, Chi-Sheng Shih and others published Deep Learning Based End-to-End Specular Reflection Removal for Medical Endoscopic Images�...
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Deep Learning Based End-to-End Specular Reflection Removal for Medical Endoscopic Images. https://doi.org/10.1145/3599957.3606226.
Jan 14, 2023 � This paper proposes a specular reflection detection and removal method for endoscopic images based on brightness classification.
A machine learning approach for automatic specular highlight removal from a single endoscopic image using a residual convolutional neural network to�...
Shadows, reflections and highlights can make the object very difficult to be recognized for an automatic system. Additionally, images used in medical�...
In this paper, we aim at removing specular highlights from endoscopic videos using machine learning. We propose using a temporal generative adversarial network�...
SpecReFlow is a first-of-its-kind solution that combines temporal and spatial information for effective detection and restoration of SR regions.
... Deep-learning based single-image methods [23] , [24] require a ground truth specular or diffuse reflection for supervised learning. These methods contain�...
Experimental results demonstrate that our method effectively removes specular highlights from WCE images while ensuring color similarity and texture continuity�...