Mr. Yutong Dai Profile

Yutong Dai

at Southeast Univ

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Proceedings Article | 10 April 2018 Paper

Enhancement method for rendered images of home decoration based on SLIC superpixels

Yutong Dai, Xiaotong Jiang

Proceedings Volume 10615, 106152O (2018) https://doi.org/10.1117/12.2303377

KEYWORDS: Image enhancement, Neural networks, Image segmentation, Image processing, Image processing algorithms and systems, Visualization, RGB color model, Image quality

Read 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.

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