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首页> 外文会议>2013 International Conference on Circuits, Power and Computing Technologies >A novel approach for biomedical web image super resolution
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A novel approach for biomedical web image super resolution

机译：一种生物医学网络图像超分辨率的新方法

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摘要

Quality of image is very important and needed thing while considering the importance of image in communication, satellite, defence purpose, analysis etc. Quality of image is generally affected during compression, down sampling, transmission, and by the effect of noise. Super-resolution of image comes in this concept. For the purpose of analyzing compressed biomedical image, proposed method is a solution. Low resolution biomedical image is taken as sample input. To improve the resolution and quality of such image, artifact removal, adaptive regularization and pair-matching super-resolution is used. For clarity enhancement, edge detection and error correcting methods are used. Both are interpolated to get resultant image. The final image will be a super-resolution (SR) image, free from noise. The proposed method had been compared with several existing methods and analyzed the performance using MSE and PSNR metrics.
机译：考虑到图像在通信，卫星，防御目的，分析等方面的重要性，图像质量非常重要，并且是必需的。在压缩，下采样，传输以及噪声影响下，图像质量通常会受到影响。图像的超分辨率就是这个概念。为了分析压缩的生物医学图像，提出的方法是一种解决方案。低分辨率生物医学图像作为样本输入。为了提高这种图像的分辨率和质量，使用了伪影去除，自适应正则化和对匹配超分辨率。为了提高清晰度，使用了边缘检测和纠错方法。两者都被插值以获得合成图像。最终图像将是无噪声的超分辨率（SR）图像。将该方法与现有方法进行了比较，并使用MSE和PSNR指标分析了性能。

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