Realistic Hair Simulation Using Image Blending
This provides a tool for benchmarking hair removal methods and data augmentation in computer-aided diagnostics for dermatology, but it is incremental as it builds on existing image blending techniques.
They tackled the problem of generating realistic hair in dermoscopic images by using image blending to superimpose hair masks, achieving a realism score of 1.65 compared to 1.59 for the state-of-the-art simulator.
In this presented work, we propose a realistic hair simulator using image blending for dermoscopic images. This hair simulator can be used for benchmarking and validation of the hair removal methods and in data augmentation for improving computer aided diagnostic tools. We adopted one of the popular implementation of image blending to superimpose realistic hair masks to hair lesion. This method was able to produce realistic hair masks according to a predefined mask for hair. Thus, the produced hair images and masks can be used as ground truth for hair segmentation and removal methods by inpainting hair according to a pre-defined hair masks on hairfree areas. Also, we achieved a realism score equals to 1.65 in comparison to 1.59 for the state-of-the-art hair simulator.