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首页> 外文会议>International Conference on Inventive Computation Technologies >Image super resolution based on discrete and Stationary wavelet transform using Canny edge extraction and non local mean
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Image super resolution based on discrete and Stationary wavelet transform using Canny edge extraction and non local mean

机译：基于Canny边缘提取和非局部均值的离散和平稳小波变换的图像超分辨率

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This paper addresses the issue of generating a high-resolution(HR) image from single low quality or low-resolution(LR) image. In this work, Discrete wavelet transform (DWT) is used with the Stationary wavelet transform (SWT) to generate or increase the resolution of the image. SWT reduces the translation invariance presence in DWT. To preserve the edges Canny edge extraction is used to get the sharper image. To interpolate the image into the intermediary stage of proposed algorithm Lanczos interpolation is used and to reduce the artifacts introduced by the DWT Non-local mean(NLM) filter has been used. The experimental result shows that the proposed algorithm gives good results based on image quality parameters as compared with the state-of-the-art works in super resolution (SR) process.
机译：本文讨论了从单个低质量或低分辨率（LR）图像生成高分辨率（HR）图像的问题。在这项工作中，将离散小波变换（DWT）与固定小波变换（SWT）结合使用以生成或提高图像的分辨率。 SWT减少了DWT中平移不变性的存在。保留边缘Canny边缘提取用于获得更清晰的图像。为了将图像插值到所提出算法的中间阶段，使用了Lanczos插值，并减少了由DWT非局部均值（NLM）滤波器引入的伪像。实验结果表明，与超分辨率（SR）技术的最新成果相比，该算法基于图像质量参数给出了良好的效果。

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