Paper
10 April 2018 Enhancement method for rendered images of home decoration based on SLIC superpixels
Yutong Dai, Xiaotong Jiang
Author Affiliations +
Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106152O (2018) https://doi.org/10.1117/12.2303377
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China
Abstract
Rendering technology has been widely used in the home decoration industry in recent years for images of home decoration design. However, due to the fact that rendered images of home decoration design rely heavily on the parameters of renderer and the lights of scenes, most rendered images in this industry require further optimization afterwards. To reduce workload and enhance rendered images automatically, an algorithm utilizing neural networks is proposed in this manuscript. In addition, considering few extreme conditions such as strong sunlight and lights, SLIC superpixels based segmentation is used to choose out these bright areas of an image and enhance them independently. Finally, these chosen areas are merged with the entire image. Experimental results show that the proposed method effectively enhances the rendered images when compared with some existing algorithms. Besides, the proposed strategy is proven to be adaptable especially to those images with obvious bright parts.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yutong Dai and Xiaotong Jiang "Enhancement method for rendered images of home decoration based on SLIC superpixels", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106152O (10 April 2018); https://doi.org/10.1117/12.2303377
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KEYWORDS
Image enhancement

Neural networks

Image processing

Image segmentation

Image processing algorithms and systems

Image quality

RGB color model

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