通信学报2011，Vol.32Issue(8)：165-170,6.
基于重要度扩散和自适应采样的图像/视频缩放技术
Image and video resizing algorithm based on importance diffusion and adaptive scaling
摘要
Abstract
An image and video resizing algorithm was proposed based on importance map diffusion and adaptive scaling. It compromised between the protections of image content and important regions. To avoid the image distortion by excessive deletion of un-important regions, the importance of current row and column was spread to their neighboring pixels. To protect importance regions, different weighting coefficients were allocated to every row and column in terms of their importance by adaptive scaling function. Moreover, it was also effective for video resizing by incorporating the constraint of temporal coherency. Experimental results show that compared with other techniques such as cropping and seam carving, satisfactory results were achieved by the proposed approach.关键词
显著度图/重要度扩散/自适应采样函数/图像缩放Key words
saliency map/ importance diffusion/ adaptive scaling function/ image resizing分类
信息技术与安全科学引用本文复制引用
王会千,杨高波,张兆扬,夏中超..基于重要度扩散和自适应采样的图像/视频缩放技术[J].通信学报,2011,32(8):165-170,6.基金项目
国家自然科学基金资助项目(61072122,60702065) （61072122,60702065）
湖南省自然科学基金重点项目(11JJ2053) （11JJ2053）
新型显示技术及应用集成教育部重点实验室(上海大学)开放课题基金(P200801) （上海大学）
图像处理与图像通信江苏省重点实验室开放课题基金(ZK207006) （ZK207006）
