Paper
10 April 2018 Contour sensitive saliency and depth application in image retargeting
Hongju Lu, Pengfei Yue, Yanhui Zhao, Rui Liu, Yuanbin Fu, Yuanjie Zheng, Jia Cui
Author Affiliations +
Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106151R (2018) https://doi.org/10.1117/12.2303573
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China
Abstract
Image retargeting technique requires important information preservation and less edge distortion during increasing/decreasing image size. The major existed content-aware methods perform well. However, there are two problems should be improved: the slight distortion appeared at the object edges and the structure distortion in the nonsalient area. According to psychological theories, people evaluate image quality based on multi-level judgments and comparison between different areas, both image content and image structure. The paper proposes a new standard: the structure preserving in non-salient area. After observation and image analysis, blur (slight blur) is generally existed at the edge of objects. The blur feature is used to estimate the depth cue, named blur depth descriptor. It can be used in the process of saliency computation for balanced image retargeting result. In order to keep the structure information in nonsalient area, the salient edge map is presented in Seam Carving process, instead of field-based saliency computation. The derivative saliency from x- and y-direction can avoid the redundant energy seam around salient objects causing structure distortion. After the comparison experiments between classical approaches and ours, the feasibility of our algorithm is proved.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hongju Lu, Pengfei Yue, Yanhui Zhao, Rui Liu, Yuanbin Fu, Yuanjie Zheng, and Jia Cui "Contour sensitive saliency and depth application in image retargeting", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106151R (10 April 2018); https://doi.org/10.1117/12.2303573
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Cited by 2 scholarly publications.
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KEYWORDS
Distortion

Image fusion

Image quality

Detection and tracking algorithms

Visualization

Associative arrays

Algorithm development

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