• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of electronic imaging >Local region-based image quality assessment independent of JPEG and JPEG2000 coded color images
【24h】

Local region-based image quality assessment independent of JPEG and JPEG2000 coded color images

机译：基于局部区域的图像质量评估，独立于JPEG和JPEG2000编码的彩色图像

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 importance of the perceived quality measurement is fundamental for many image processing applications, such as compression, acquisition, restoration, enhancement, and reproduction. Color information is also of great importance for the perceived image quality, although perceived information is mainly represented by luminance. We present a computational and memory-efficient no-reference image quality assessment model independent of JPEG and JPEG2000 coded color images based on local regions. We also present the discrimination algorithm for these two types of coded images. The features of local regions are blockiness around the block boundary, average absolute difference between adjacent pixels within the block, and zero crossing rate within the block of the image. We validate the performance of our model on our subjective database, which shows good quality prediction performance, and the model's generalization ability is also verified on the other database.
机译：感知质量测量的重要性对于许多图像处理应用（例如压缩，采集，还原，增强和再现）至关重要。尽管感知信息主要由亮度表示，但是色彩信息对于感知图像质量也非常重要。我们提出了一种计算和存储效率高的无参考图像质量评估模型，该模型独立于基于局部区域的JPEG和JPEG2000编码彩色图像。我们还提出了针对这两种类型的编码图像的鉴别算法。局部区域的特征是块边界周围的块状性，块内相邻像素之间的平均绝对差以及图像块内的零交叉率。我们在主观数据库上验证了模型的性能，该模型显示了良好的质量预测性能，并且还在其他数据库上验证了模型的泛化能力。

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