peak signal-to-noise ratio造句

• On the other hand , image quality measures haven ’ t been improved correspondingly . the most popular image quality assessment ( iqa ) is still traditional methods whose representative is psnr ( peak signal - to - noise ratio )
  在对图像质量要求愈来愈高的今天,传统的图像质量评价算法已无法提供令人满意的结果,成为图像处理技术的薄弱环节。
• In the final , we evaluated and analyzed the quality of a series of compressed images with the fuzzy image and psnr ( peak signal - to - noise ratio ) measurement . we have also made some other experiments such as add noise to the images and so on
  然后用峰值信噪比和本文提出的模糊图像度量分别对一系列压缩后的图像质量进行评价，并且分析了它们的评价结果，最后还进行了对图像添加各种噪声等实验。
• Simulation results show that both objective gains measured in psnr ( peak signal - to - noise ratio ) and visual improvements of reconstructed video can be achieved by utilizing introduced methods . chapter 5 gives the implementation of jvt - based nwarq technique
  实验结果表明，各改进算法能不同程度地提高和改善重建图像的峰值信噪比( psnr )和主观质量；第五章研究、实现并测试了基于jvt视频编码标准的无等待arq技术。
• In order to assess the performance of the proposed methods , we propose three types of image measures to quantify the performance compared to some other methods . the first type evaluates the fidelity of the reconstructed image by computing the peak signal - to - noise ratio and euclidean distance in cielab color space between the original and reconstructed image in smooth and edge regions respectively . the second type accounts for a major artifact ? zipper effect
  为了评估算法质量,本文采用了三类评估手段:一是分别计算原始图像与重构图像在平滑区域与边界区域的峰值信噪比与cielab颜色空间的欧氏距离来分析重构图像的保真度;二是利用数学手段对重构图像的一类主要失真现象? ? zipper效应进行定量评估;三是对硬件实现的成本与实际可行性进行了分析。
• According to this , we propose a new way to renew the traditional method of subjective image quality evaluation , different to only use mse ( mean square error ) and psnr ( peak signal - to - noise ratio ) to evaluate merely on radiation distortion , and complemented quantitative description on compressed image distortion o it is significant to choose the format of video transferation and measuring precision calculation of tracking and measuring systems based on images
  中国科学院长春光机与物理研究所博士学位论文据此提出了不同于传统的仅用均方误差( mse )和峰值信噪比( psnr )来评价图像灰度辐射畸变的新思路，补充了对压缩图像几何畸变的定量描述。这对于基于图像的测量跟踪系统中数字图像传输方式的选择，以及评价压缩解压算法对测量精度的影响有重要意义。