...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Transactions on Image Processing >Objective Quality Assessment of Image Retargeting by Incorporating Fidelity Measures and Inconsistency Detection
【24h】

Objective Quality Assessment of Image Retargeting by Incorporating Fidelity Measures and Inconsistency Detection

机译：融合保真度和不一致性检测的客观目标图像重新评估质量评估

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The tremendous growth in mobile devices has resulted in huge generation and usage of digital images. Image quality assessment is thus an important issue for mobile media applications. In this paper, we focus on the quality evaluation of images generated by content-aware image retargeting, in which the reference and the distorted images are of different sizes. Through retargeting, many types of deformation inconsistency lead to shape distortion, deformation artifacts, and content information loss, worsening its perceptual quality. The deformation inconsistency occurs on different levels of the retargeted images. Limited by the accuracy of the alignment between the original and retargeted images, previous methods only focus on pixel-level and patch-level fidelity analyses and fail to detect deformation inconsistency. In this paper, we improve the alignment algorithm and propose a three-level representation of the retargeting process. Based on the analysis of this three-level representation, both fidelity measures and inconsistency detection are combined to determine the final retargeting quality. The proposed algorithm is validated on the public data sets RetargetMe and CUHK. Experimental results demonstrate that inconsistency detection contributes to accurately assessing the image retargeting perceptual quality. This inspires us to investigate more about deformation inconsistency to formulate the objective quality of image retargeting.
机译：移动设备的巨大增长导致了数字图像的大量产生和使用。因此，图像质量评估是移动媒体应用程序的重要问题。在本文中，我们专注于内容感知图像重定向所生成图像的质量评估，其中参考图像和失真图像的大小不同。通过重新定位，许多类型的变形不一致会导致形状变形，变形伪像和内容信息丢失，从而降低其感知质量。变形不一致发生在重定位图像的不同级别上。受原始图像和重新定向的图像之间对齐精度的限制，以前的方法仅关注像素级和面片级的保真度分析，而无法检测到变形不一致。在本文中，我们改进了对齐算法，并提出了重新定位过程的三层表示。基于对这种三级表示的分析，将保真度测量和不一致检测结合起来以确定最终的重新定位质量。该算法在公共数据集RetargetMe和CUHK上得到了验证。实验结果表明，不一致检测有助于准确评估图像重定位感知质量。这激发了我们更多地研究变形不一致性，以制定图像重新定向的客观质量。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号