Image Retargeting by Combining Region Warping and Occlusion

Autor:	Muyang Song, Jia Bei, Yan Liu, Tongwei Ren, Zhongyan Qiu
Rok vydání:	2013
Předmět:	Visual distortion Pixel Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image content Image (mathematics) Seam carving Retargeting Occlusion Computer vision Artificial intelligence Image warping business ComputingMethodologies_COMPUTERGRAPHICS
Zdroj:	Lecture Notes in Computer Science ISBN: 9783319037301 PCM
DOI:	10.1007/978-3-319-03731-8_19
Popis:	Image retargeting aims to avoid visual distortion while retaining important image content in resizing. However, current image retargeting methods usually fail in difficult situations, such as complex structures and intricate arrangements of objects. In this paper, we propose a novel image retargeting approach, which provides low visual distortion retargeting results by combining region warping and occlusion. We first represent image region with occlusion probability to avoid inaccuracy in image decomposition. Then we combine region warping and occlusion in a unified framework, and transform it to a pixel-level retargeting problem. To verify the performance of our approach, we implement it with two operators, seam carving and pixel warping. Experiments demonstrate the effectiveness of the proposed approach.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::748b8a70c579ed104fddc1fdf7f53f7f https://doi.org/10.1007/978-3-319-03731-8_19 Zobrazit plný text záznamu