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Image Resolution Enhancement Using Lifting Wavelet and Stationary Wavelet Transform

机译:利用提升小波和平稳小波变换增强图像分辨率

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This paper presents a technique for enhancing resolution of images by interpolating high frequency sub-bands generated using lifting wavelet transform (LWT) and spatial information of input low resolution (LR) image. Stationary wavelet transform (SWT) is used at intermediate stage for edge enhancement. The input image is decomposed using LWT in order to generate high frequency (HF) sub-bands. The generated HF sub-bands are interpolated further. Different high frequency sub-bands obtained through SWT are added to correct the estimated HF sub-bands. The input LR image is interpolated in parallel. All these sub-bands and estimated LR image are reconstructed by inverse lifting wavelet transformation (ILWT) to produce high resolution image. The qualitative, quantitative and visual images of the described technique show the superiority of the proposed method over conventional and state-of-the-art methods.
机译:本文提出了一种技术,该技术通过对使用提升小波变换(LWT)和输入低分辨率(LR)图像的空间信息生成的高频子带进行插值来增强图像的分辨率。固定小波变换(SWT)在中间阶段用于边缘增强。使用LWT对输入图像进行分解,以生成高频(HF)子带。产生的HF子带被进一步内插。将通过SWT获得的不同高频子带相加以校正估计的HF子带。输入的LR图像被并行插值。通过逆提升小波变换(ILWT)重建所有这些子带和估计的LR图像,以生成高分辨率图像。所描述技术的定性,定量和可视图像显示了所提出方法相对于传统方法和最新方法的优越性。

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